Hands-on development experience with R/Python or related statistical software package
Programming skills in building and deploying machine learning models (supervised & unsupervised, time series)
Mathematical programming algorithms in supervised, unsupervised and semi-supervised learning techniques
Good understanding of machine learning, predictive modelling and optimization algorithms
Good understanding of data modelling and evaluation
Experience in designing, building, testing and validating highly customized statistical models using a large number of statistical and other quantitative techniques
Information Technology & Services, Computer Software, Financial Services
Mid-Senior level
Greece
2020
LinkedIn
Programming Languages (C++, Python, Java)
ML algorithms/models
Software development/engineering
English
Advanced Python
Experience with some major ML framework i.e. Keras, Pytorch, Tensorflow
Advanced UNIX/Linux
Experience in optimizing Python code through the correct use of algorithms, libraries, and interfacing with Cython and C
Previous exposure to OCR technologies, especially Tesseract and Google Vision
R, SQL, JS, C
Refining and optimizing the existing IE pipeline.
Experimentation and assessment of new related tools, technologies and techniques. This requires being constantly aware of the state of the art in the fields of Information Extraction, OCR and Neural Language Processing.
Designing, implementing and optimizing new system components.
Maintaining and expanding the test suite of the IE platform and producing useful statistics out of it.
Building insight regarding how modifications and configuration changes in various parts of the system affect accuracy/precision as well as performance.
Cooperating with the software engineering team so that proper APIs/deployment/security is achieved and maintained.
Information Technology & Services, Computer Software, Financial Services
Entry Level
Greece
2020
LinkedIn
Software development/engineering
Probability and Statistics
ML algorithms/models
Business Development
Business Analysis
Data Analysis / Modelling
Communication
Creativity
Experience with software container technology (e.g., Kubernetes, Docker, cloud services/APIs)
Working experience with cloud computing platforms like Google Cloud Platform
Build scalable software operating on large datasets and with a high degree of task parallelism in PySpark
A solid foundation in the core concepts of machine learning and statistics
Ability to efficiently search and understand the scientific literature of mathematical models, machine learning and AI
Ability to judge the relevance of existing models and algorithms to specific business needs
Designing, developing and maintaining of scalable, reliable and automated ML modeling pipelines, including big data processing, model training and evaluation, continuous integration and development, model quality monitoring and analytics
Utilizing programming and operations talents to apply the latest patterns in continuous delivery, cloud operations, containerization, and server-less technology and build the next generation of AI/ML platform
Dealing with Big Data (datasets in TBs with hundreds of columns), stored in Hadoop clusters
Solution implementation using ML libraries (e.g Scikit-learn, Keras, Tensorflow, Apache MLlib) and big-data applications and tools (Apache Spark)
Designing and implementing credit risk models and algorithms beyond the state of the art
Experiment with new features and representations that will enhance the performance of the deployed solutions
Information Technology & Services, Computer Software, Financial Services
Entry Level
Greece
2020
LinkedIn
Probability and Statistics
ML algorithms/models
Programming Languages (C++, Python, Java)
Data Analysis / Modelling
Problem solving
English
Deep understanding of statistical and predictive modelling concepts, clustering and classification techniques, recommendation and optimization algorithms;
Solid and demonstrable knowledge of machine learning principles;
Excellent programming skills in a language such as Python or Java;
Experience with common data science toolkits, such as Pandas, Scikit, Statsmodels, Weka, NumPy;
Experience with Apache Spark/ Mesos clusters;
Experience with Big Data technologies and NoSQL databases;
Design and implementation of Machine Learning models for data quality, risk analysis and fraud detection;
Design and implementation of Machine Learning solutions;
Solution implementation using ML libraries (e.g Apache MLlib).
Information Technology & Services, Computer Software, Financial Services
Associate
Greece
2020
LinkedIn
Programming Languages (C++, Python, Java)
Deep Learning
Data Analysis / Modelling
Problem solving
Communication
Business Analysis
ML algorithms/models
Demonstrated experience of Python and specifically NumPy, SciPy, Pandas, SciKit-learn
Applied knowledge of deep learning packages, such as PyTorch, Tensorflow, Keras
Expertise in recommendation systems, classification models, time-series, feature selection, class imbalance, and model calibration
Familiarity with reporting and visualization platforms and packages, such as Power Bi, Tableau, Matplotlib
Experience with managing data, relational, dimensional, and tabular data modelling principles, SQL
Familiarity with Big Data technologies (Hadoop, Spark, AWS Data Pipeline Service, Azure Data Factory, Databricks, Elastic Search, Kafka)
Identify, research, prototype, and build predictive models to create highly innovative customer experiences working with time-series related data
Analyse large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities
Participate in developing state-of-art machine learning solutions to address large scale casino game models
Establish processes that allow for cleaner integration and effective use of data within the business, ensuring final models are productionised in the data warehouse/core systems
Write tests to ensure the robustness and reliability of such models
Design and build pipelines that collect, pre-process, and deliver data with a measurable quality
Data Management: SQL, PL/SQL, PostgreSQL, PostGIS, MySQL, SPARQL, RDF;
Big Data & Machine Learning frameworks: Apache Spark, Apache Kafka, Apache Hadoop, Spark MLlib, MongoDB, Apache Flink;
Parallel & GPU Programming: MPI, OpenMP, CUDA;
Microservice deployment, virtualization technologies and working with cloud platforms such as Docker, OpenStack, Kubernetes, Jenkins.
Requirements and use cases identification, analysis, homogenization, elicitation and prioritization required for the projects’ implementation (with regard to the execution of our activities);
Conceptualization, definition, (technical) specification of concepts, models and algorithms required for the projects’ implementation (with regard to the execution of our activities);
Conceptualization, architectural design, technical specification and implementation of utilities, modules, components, subsystems, systems and platforms required for the projects’ implementation (with regard to the execution of our activities);
Scope definition, operation and execution of pilot use cases and demonstrators (with regard to the execution of our activities).
Information Technology & Services, Computer Software, Banking
Associate
Greece
2020
LinkedIn
Data Analysis / Modelling
Programming Languages (C++, Python, Java)
Data Security
Business Development
Business Analysis
Communication
Analytical thinking
Teamwork
English
Research
Customer Service
ML algorithms/models
Probability and Statistics
Knowledge of advanced data analysis techniques that include customer segmentation, propensity modelling, pricing & optimization techniques and predictive modelling.
Proficiency in using programming tools and platforms to manipulate datasets and perform data analysis
Familiarity with Data Science scripting (in R / Python / Scala) and cloud technologies; Proficiency in any such areas will be considered as a strong asset but it is not a prerequisite
Experience in analytical manipulation and interpretation of large databases will be considered as a strong asset but it is not a prerequisite
Demonstrated ability to think strategically; turn consumer behaviour data into effective strategies and drive results
Exceptional analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work within a team
Consulting with clients and deciding what data are needed to answer specific questions or problems related to business
Collects, cleans and aggregates data in order to use them for Data Analysis and Insights
Collaborates with team members towards achieving clients’ objectives
Responsible for implementing statistical and Machine Learning methodologies and data analysis techniques as set forth in project requirements
Generates tables, figures and dashboards for presentation and interpretation of results in accordance with project requirements
Validate data analysis results with team members to ensure high-quality deliverables
Information Technology & Services, Computer Software, Financial Services
Entry Level
Greece
2020
LinkedIn
Software development/engineering
Data Analysis / Modelling
Programming Languages (C++, Python, Java)
ML algorithms/models
Probability and Statistics
Analytical thinking
Creativity
Experience in back end platforms development with solid programming abilities in Java and/or Python
Knowledge of Relational and Non-Relational Database technology
Strong analytical skills, evidence of systems design
Hands-on experience at Spark, Hadoop; especially MapR, NoSQL columnar and document databases, Python
Experience in programming Big Data applications in Java or Python
Working knowledge of SPARK
Architect and develop on-line (real-time) and batch data analytics methods and algorithms.
Assure and maintain the fast and efficient provision of data in the infrastructure to product platforms, reporting and analysis tools, and data scientists/analysts.
Acquire and integrate large volumes of data (Extract, Transfer and Load).
Architect disparate sources of data.
Maintain the quality, availability, and security of data and seek to improve collection, usage and presentation of data across the organization.
Data integration, administration and optimization of performance associated with Big Data processing.
Information Technology & Services, Computer Software
n/a
Greece
2020
LinkedIn
ML algorithms/models
Programming Languages (C++, Python, Java)
Software development/engineering
Data Analysis / Modelling
Deep Learning
Deep understanding in most of the following areas: text analysis, natural language processing (NLP) / understanding (NLU), deep learning, information retrieval, collaborative filtering and/or content-based recommendation
Experience in developing and deploying machine learning services and solutions as part of a production system
Strong development skills in Python or Java implementing production machine learning systems at scale
Familiar with frameworks such as Keras, TensorFlow, PyTorch, scikit-learn, Gensim, WEKA, OpenNLP, etc
Work alongside machine learning researchers to design, develop, and deploy algorithms, systems and data pipelines that process and analyze content and data for AI-powered text mining, information retrieval, similarity analysis, and recommendation services.
Build high-performance services on top of Big Data management technologies, such as NoSQL back-ends and Lucene-based search engines like Solr and Elastic Search, and you will work on distributed processing and data streaming platforms such as Apache Spark and KAFKA.
Possess experience in working with large datasets and a firm understanding of the core Big Data algorithms and problems.
Proficiency with current bioinformatics tools and databases for interpretation of omics sequencing data
Experience in building and testing automated multi-omics data analysis pipelines, especially for NGS and microbiome data
Experience in bioinformatics system design (compute, data, application layers) for data and compute-intensive applications
Proficiency in Python and Linux
Familiarity with High-Performance Computing and cloud computing systems
Development of bioinformatics pipelines, and machine-learning algorithms to analyze omics data, especially focused on the microbiome (metagenome, 16S) and meta-transcriptome
Design and implementation of automated integration pipelines and other computational workflows to facilitate omics analysis as part of an enterprise-level system solution
Prepare technical reports with bioinformatics-related plots and graphs
Produce well-written, well-documented, and reliable software components
Evaluate new technologies while keeping up to date with technological developments in relevant areas
Broad knowledge of fundamental SAR data processing, addressing the physical aspects of optical and microwave remote sensing
Practical experience in the SAR data processing and analytics, e.g.: CCD, PSI, SBAS
Distinct analytical ability, particularly in the field of statistics and Machine Learning. Knowledge in Deep Learning is an advantage
Advanced skills in relevant SAR software packages such as ENVI SARscape, S1TBX or Orfeo-Toolbox
Practical experience in workflow automation using scripting languages like Python, R or Shell-Scripts as well as data science and geo-related packages e.g.: Scikit-learn, GDAL, Numpy, Pandas
Experience to process data and to present your work results in GIS (e.g. ArcGIS, QGIS)
SAR processing chain containing techniques like coherence analysis or persistent scattered interferometry
Efficient automation of data processing and analysis
Apply SAR data in the application domains of urban, agriculture, forestry, soils and water, with emphasis on land cover, crop classifications, biomass estimation, as well as applications concerning disaster risk, natural hazards and climate change studies
Transfer data into information using knowledge of statistics and machine learning.
Contribute to the remote sensing experts to find integrated solutions for complex challenges
Finance and insurance
n/a
Germany
2020
Data Analysis / Modelling
ML algorithms/models
Programming Languages (C++, Python, Java)
Software development/engineering
Communication
Teamwork
At least two years of professional experience in the field of DevOps with an affinity for Data Science
Good experience in dealing with the public cloud (e.g. Azure, AWS)
Very good knowledge of automation through CI/CD and infrastructure provision with Infrastructure as Code (e.g. Terraform)
Understanding of the conception of machine learning applications and their productive implementation on container-based architectures
Good programming skills in Python and/or other programming languages (Java, C/C++)
Innovative thinking and fun in dealing with new technologies
Creation and further development of a machine learning platform in the cloud
Apply DevOps approaches in the cloud and machine learning
Establishment of MLOps to support the operationalization of machine learning
Sustainable development of the field of competence and proactive driving of measures
Operational support and coaching of employees (departments and team colleagues) in machine learning applications
Human Resources
n/a
Germany
2020
ML algorithms/models
Data Analysis / Modelling
Probability and Statistics
Experience in Machine Learning and Big Data technologies
Knowledge of Advanced Analytics (Data Mining, Predictive Analytics, Computational Statistics)
Know-how in the processing and analysis of large amounts of data (statistical analysis and data mining)
Knowledge about standard tools for Big Data analysis and Big Data visualization e.g. Tableau, Elastic Search, Hadoop and Excel
Determination and extraction of relevant information from relational databases (Big Data)
Analysis of business processes and development of optimization potentials
Evaluation of different methods and tools for data analytics and data mining
Support in the design and development of BI and Big Data platforms and the selection of storage technologies
Energy
n/a
Germany
2020
Data Analysis / Modelling
Probability and Statistics
ML algorithms/models
Several years of professional experience in the implementation of data science projects and data analysis, data mining techniques, targeted method selection
Knowledges in querying DBMS and NoSQL databases (MongoDB, Cassandra, etc.) and in creating and applying advanced algorithms and statistics of machine learning
Experience with distributed data/computing tools (Hadoop, Hive or Spark) as well as real-time data streaming technologies such as Kafka
Knowledge about visualisation/ presentation of data such as Jupyter Notebook, R Studio, Apache Zeppelin
Work with machine learning platforms like Tensorflow, Azure machine learning platform or Google Cloud AI
Development and implementation of tasks in the field of data analysis, combined with the support of internal and external working groups
Application and evaluation of analytical tools for the use of (network) relevant data, including the selection of appropriate tools (e.g. machine learning)
Applying pattern recognition techniques to determine correlations and identify anomalies
Develop innovative data products and transfer them into our platform environment
Ensuring and deepening the exchange on data trends and introducing new findings into our product portfolio
Telecommunications
n/a
Germany
2020
Data Analysis / Modelling
ML algorithms/models
Programming Languages (C++, Python, Java)
Analytical thinking
Use Case Development
English
Business Analysis
Communication
5+ years of professional experience in multivariate analysis techniques of the customer and potential data
Several years of professional experience in handling common data mining applications
Knowledge of machine learning and programming (e.g. Python)
Several years of experience in the preparation and presentation of analysis results at the management level
Very good analytical and conceptual skills as well as high interest in innovations
German and English language skills in spoken and written (min. level B1)
Processing complex analytical questions for operational and strategic corporate management
Conception, planning and management of analysis projects based on internal and external data
Requirements management and consulting in the context of customer and potential analyses
Presentation of analysis results in the specialist areas and at management level
Further development of the existing analysis methods with modern machine learning algorithms and the current analysis infrastructure
Public Sector
n/a
Germany
2020
Project Management
Data Analysis / Modelling
Business Analysis
Use Case Development
Experience in the design and/or requirements management of AI projects or experience in the application of AI technologies
Knowledge of natural language text recognition, document classification and/or graph-based databases
Personal network in the public sector and sound knowledge of current e-government projects
Excellent ability to prepare the subject of investigation and solution approaches for our customers in a target group-oriented manner and to explain them convincingly
Flexibility, high willingness to travel, motivation and excellent quality awareness
Highly innovative projects with high potential for change in administrative processes
Conception of use cases for the use of AI and machine learning in the public sector
Management of requirements and expectations related to AI
Development of innovative, data-driven administrative processes
Automation of administrative processes with self-learning systems
Design of change processes when introducing AI methods in administrative processes
n/a
Germany
2020
Programming Languages (C++, Python, Java)
Data Analysis / Modelling
ML algorithms/models
Project Management
Communication
Business Analysis
Several years of experience in the design and implementation of data science solutions
Special expertise in one of the following analysis methods: ANOVA, PCA, ARIMA, LCA, Text Mining, CNN or NLP
Practical experience with a data science toolset (e.g. R-Project, Python, Matlab or Scala)
Experience with one of the following visualisation tools: Tableau, QlikSense, PowerBI
Several years of experience in the management of projects in the field of data science and machine learning as well as in project acquisition
Required level of integrity, empathy, communication skills and a high level of implementation competence
Continuous improvement of the company's business analysis models by using new, creative data sources and the latest analysis methods, such as machine learning or AI
Be informed about current trends in the field of data science and support experimental data modelling and validation and test procedures
Contact person for the data scientists in the product teams
Support the employees in generating answers to complex, analytical questions by analysing data and using advanced analytics
Engineering
n/a
Germany
2020
Probability and Statistics
Data Analysis / Modelling
ML algorithms/models
Programming Languages (C++, Python, Java)
Communication
Leadership
Teamwork
English
Very good knowledge of statistics, data analysis, machine learning, statistical process control, Python and its libraries and cloud technologies
Six-sigma black belt or equivalent qualification
3+ years practical experience in data science and in the use of machine learning pipelines and ideally experience with IoT / Industry 4.0
Proven leadership and mentoring skills and effective communication skills at all levels with excellent presentation and strong consulting skills
Attitude and excellent team player
Fluent English and German skills
Coach and develop new skills within our growing data science team.
Identify and implement data science projects and process improvement projects for the business units.
Analyze complex data from various sources, using state-of-the-art methods of statistics, machine learning and image processing and making intensive use of our data science and IoT platforms.
Develop a data science vision and take the initiative for its implementation together with all stakeholders.
Develop best practices to ensure proper use of machine learning models throughout the Heraeus lifecycle, and support internal Six Sigma training and the Six Sigma community.
Retail
n/a
Germany
2020
Software development/engineering
ML algorithms/models
Programming Languages (C++, Python, Java)
2+ years of previous experience in software engineering with industry experience in Machine Learning
Familiarity with machine learning and parallel processing pipelines, experience with implementation in low-latency real-time platforms and/or scalable offline batch processes
Solid experience with Python (production level code), SQL and cloud-based solutions (preferably GCP)
Job scheduling technologies (Airflow, etc.) and containerization for isolated development (Docker, Kubernetes) shouldn’t be foreign concepts to you
Deploy and maintain production models using both internal and external solutions
Collaborate closely with the engineering teams of fraud, supply chain, user-generated content and merchandising to ensure integration of our machine learning models into the overall engineering systems
Improve the pace of innovation and experimentation by introducing best practices and tools for Data Science workflow and DevOps
Develop GCP based solutions within EU Data Science team and help establish our team as the centre of excellence for GCP
Graphic Processor Development
n/a
Germany
2020
Programming Languages (C++, Python, Java)
Software development/engineering
Communication
Deep Learning
ML algorithms/models
Data Analysis / Modelling
Customer Service
Research
Teamwork
Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
Experience with parallel programming, ideally CUDA C/C++.
Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills.
Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models
Consulting
n/a
Germany
2020
Data Analysis / Modelling
Programming Languages (C++, Python, Java)
Probability and Statistics
English
Practical experience in the fields of Artificial Intelligence, Data Science, Computer Vision and/or Computer Graphics
Pro-active mindset, independent, open for new concepts and technologies
German and English language skills
Development and implementation of algorithms in real-time and AI applications
Analysis and design of new algorithms and technologies
Human Resources
n/a
Germany
2020
Deep Learning
ML algorithms/models
Software development/engineering
English
Business Analysis
Leadership
Teamwork
Data Analysis / Modelling
Strong, demonstrable experience developing new deep learning models (NLP, Image Processing, Computer Vision, Speech Recognition) and machine learning over unstructured data.
Hands-on experience of deploying Machine Learning or Deep Learning based solutions in production with large datasets.
Strong understanding of Python and Machine Learning libraries (NumPy, SciPy, sklearn, TensorFlow, PyTorch, Keras).
More than 3 years of relevant experience in the industry
Good writing skills demonstrated by patents, publications, blogs or personal pages.
Experience in the domain of life sciences or financial services is a plus.
Develop new machine learning, deep learning & ontology-based modelling algorithms to take up unsolved industry challenges.
Lead and mentor a small team of data scientists in applying existing learning algorithms and develop new ones.
Cross-functional collaboration to support the integration of finished algorithms and prototypes into products.
Create an intellectual property for the organization and write patent disclosures for them.
Support sales and business development teams to fine-tune client requirements, perform feasibility testing and proposing approaches for solutions.
Demonstrate thought leadership by participating in national & international conferences represent the organization and publishing blogs, white papers etc.
Engineering
n/a
Germany
2020
Data Analysis / Modelling
ML algorithms/models
Software development/engineering
Programming Languages (C++, Python, Java)
Customer Service
Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka, NoSQL databases) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
Familiarity with the full range of the machine learning space, both the mathematical and statistical theory and the technical applications of these methods
Experience with building and deploying a range of machine learning models into production, including supervised and unsupervised machine learning and deep learning methods
Experience with performance tuning, troubleshooting, and debugging Spark and/or other big data solutions
Comfortable with talking up and down the IT chain of command including directors, managers, architects and developers
Expertise programming in Python or Scala
Guide strategic customers as they design and implement big data and machine learning projects, ranging from business transformational projects, through to end-to-end machine learning model build and deployment
Leverage your deep expertise in building machine learning products to guide customers to do the same, through building proofs of concept and prototypes, architecting solutions and even pair-programming with customer teams as necessary
Architect, implement, and/or validate migration of workloads from 3rd party databases and data platforms to Apache Spark
Evangelize Spark and Databricks, Delta Lake and MLflow across the developer community through meetups and conferences
Plan and coordinate with Account Executives, Customer Success Engineers and Solution Architects for expanding the use of Databricks platform within strategic enterprise customers on a weekly basis
Pharmaceutical
n/a
Germany
2020
ML algorithms/models
Data Analysis / Modelling
Programming Languages (C++, Python, Java)
Business Analysis
Business Development
Project Management
Communication
English
Software development/engineering
Expertise and experience in Digital/Big Data Analytics/AI/Machine Learning:
Expertise in Signal Processing, Control Systems, and Mechatronics
Experience in Machine Learning algorithms (CNN, SVM, LSTM etc.)
Respective programming knowledge of Python/R and SQL expertise
Expertise in Database/System design:
Develop and maintain ETL processing pipelines for batch and near-real-time data as well as analytical/machine learning workflows
Gather and identify local data analytics initiatives, possibilities and requests in collaboration with the local IT and the global data analytics team
Local implementation of global data analytics roadmap initiatives
Own, manage and drive local data analytics initiatives, such as Predictive Maintenance, Down Time Analysis and respective database management
Drive local process monitoring and improvement in collaboration with the global data analytics team (e.g. descriptive statistics and visualization, statistical process control, and out-of-the-box-tools)
Execute respective reporting in collaboration with global data analytics (e.g. automated daily, monthly, and annual stability analysis targets)
Support and participate in the global data analytics community
Information Technology & Services, Computer Software
n/a
Romania
2020
Jooble
Software development/engineering
Programming Languages (C++, Python, Java)
ML algorithms/models
Business Analysis
Data Analysis / Modelling
Experience developing applications in the area of Computer Vision, Text (NLP), Audio, and Forecasting in Cloud environments.
Software development experience in Python for Cloud applications (microservices with REST APIs)
Experience with continuous delivery on Cloud platforms
Studies in Computer Science, Electrical Engineering, Machine Learning or a related field
Understanding business requirements based on customer needs
Preparing data for training the models or selecting pre-trained models
Information Technology & Services, Computer Software
n/a
Romania
2020
Jooble
ML algorithms/models
Deep Learning
Programming Languages (C++, Python, Java)
Software development/engineering
Communication
Problem solving
Business Analysis
Business Development
Use Case Development
Minimum 4-5 years of industry experience in the development and productisation of AI/ML technologies for Imaging and Multimedia applications
Strong experience with applying ML & Deep learning to Imaging & Multimedia.
Expertise in deep learning-based object detection, segmentation, tracking.
Experience with image processing, camera sensors and CV technologies.
A proven track record of conducting disciplined and productive R&D
Familiarity with optimising and deploying ML / Deep learning technologies on embedded ML accelerators
Fulfil a technical leadership role in a team working on cutting-edge AI and ML research and application development
Develop innovative ML and Deep learning algorithms for Imaging and Multimedia applications running on advanced edge AI SOCs.
Work with business stakeholders to drive application development from initial concept to implementation, and align the technical goals to the overall product Roadmap.
Apply ML to real-world problems selecting, designing, optimizing, and deploying neural networks across a wide range of Imaging and Multimedia use cases
Work with Data teams to establish the training and testing datasets
Information Technology & Services, Computer Software
n/a
Romania
2020
Jooble
ML algorithms/models
Programming Languages (C++, Python, Java)
Software development/engineering
Data Analysis / Modelling
Business Analysis
Use Case Development
Programming experience working on AI/ML products/models.
Solid programming language skills in at least one of the following Python, Java, C++.
Strong knowledge of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation, such as scikit-learn, numpy, pandas, OpenCV.Experience building AI models in frameworks such as Keras, TensorFlow or Theano.
Unix or Unix-like operating system.
Demonstrated ability to deliver working solutions on a tight schedule.
Very strong algorithmic thinking.
Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
Set up and manage the AI development and production infrastructure.
Help product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructIdentify new training datasets, problem transfer learning opportunities and adapt.
Understand overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
Apply technical knowledge to architect solutions that meet business needs, create AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate
Provide best of the breed, fit for purpose data science and architectural recommendations leveraging Cloud & traditional on-premise data services.
Good understanding of CI-CD concepts and practical experience in deploying a predictive model using CI-CD frameworks
Use predictive modelling, optimization, and/or machine learning analytics techniques (clustering, dimensionality reduction, decision tree learning, artificial neural networks, natural language understanding, deep learning networks) and tools/programming languages.
Ability in working with data platform including unstructured data technologies and related data and analytics, Artificial Intelligence, Big Data, Data Warehouse, Business Intelligence, Data Integration, Enterprise Information Management, Master Data Management
Directly help the company transform its business and solve complex problems by leveraging Machine Learning, combined with other types of Advanced Analytics techniques to build models aiming to solve a large swath of business problems
Define and deliver customized, telecom industry-specific solutions using knowledge of cloud and on-premise platforms, advanced analytics, and AI capabilities
Ability to innovate and design solutions according to with market trends and Telecom best practices
5 years of experience in data management technologies (Microsoft SQL Server, Postgres, advanced SQL coding, relational database design, data warehousing)
3 years of experience in developing Big Data technologies (Spark, AWS EMR) to handle ML model processing (training, evaluation, and inference)
3 years of experience writing Python or PySpark
3 years of experience with writing ETL processes
Experience working in a Linux and Windows environment
Design and develop the data pipelines to support data science and ML projects
Write complex and efficient code in SQL or Python to optimize data pipelines to ingest, cleanse, transform and integrate large volumes of data to prepare for ML analysis and modelling
Write Python code to transform our model algorithms to production-ready code
Work extensively with AWS services to deploy and run our ML code via CI/CD pipelines and containers
Be part of an Agile team, using the company’s latest ML Operations Lifecycle Framework working closely with team members from Romania and US
Adhere to best practice development standards for ML Ops design and architecture
Good algorithms, data structures and software design background;
Experience with one object-oriented programming language (preferable C/C++);
Know-how or willingness to learn more from one of the following fields: image processing, pattern recognition, computer vision, signal processing, control engineering, machine learning, artificial intelligence, numerical methods, computational geometry etc;
Motivation and commitment to get involved, learn and contribute to the development of leading-edge technologies in collaboration with a global network of experts;
Good communication, strong analytical skills, team-oriented, initiative, perseverance and attention to details;
Self-organized and able to estimate, prioritize and schedule own tasks.
Develop software, computer vision and machine learning algorithms for video-based driver assistance systems and automated driving; Beside autonomous driving, other use cases are in the area of rail systems, logistics, agriculture and construction industry
Implement and optimize real-time embedded mono and stereo video processing technologies based on innovative computer vision (ex: stereovision and structure from motion, 3D reconstruction, projective geometry, numerical methods, 3D data processing and tracking, camera calibration) and artificial intelligence methods (ex: machine learning for objects detection and classification, scene segmentation);
Specification and development of performance evaluation methods on large data-sets;
Evaluate and validate results using offline automatic simulation frameworks as well as using Bosch test vehicles;
Rock-solid logical-analytical reasoning. You crunch numbers and perform calculations with confidence and accuracy. You’re a very quick learner who can investigate and effectively pick up new concepts on your own—especially when it comes to data.
Creativity. You like to think outside of the box and challenge previous assumptions to find the best solutions—however counterintuitive they may be.
Curiosity. You feel the urge to understand why things are the way they are, and you’re suspicious of unproven beliefs and assumptions. Your mission is to understand and describe the world with mathematical models.
Pragmatism and result-orientation. Far from being too academic or obsessive in your perfectionism, you understand that, when getting things done in a competitive world, speed is often as important as quality.
A number-heavy degree. You studied Mathematics, Physics, Engineering, or a related subject. Alternatively, you have several years of experience in relevant fields. Experience in machine learning isn't required, but it's a nice plus.
Interest in the topic. You’re going to love the job if you’re passionate about machine learning, the mobile app market, and the endless possibilities they offer.
Research the best approaches for our App Store Optimization strategy, with the objective of helping our apps reach ever-greater heights.
Take ownership of the model setup, required data sources, performance metrics, and project structure. Build machine learning models while challenging previous assumptions.
Work with data engineers to deploy machine learning models at scale, and with the Research team to help us make smarter business decisions
A graduate degree from a leading university in a STEM-related discipline.
8+ years of work experience in software development, Machine Learning or HPC.
Fluent in English both oral and written.
Action oriented with strong analytical skills.
Good organization skills to work in a heavily multi-tasked environment.
Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.
Architect and advise customers on HPC deployments to include computing, networking and storage, with particular emphasis on maximizing GPU resource utilization at scale.
Support developers and scientists on GPU-accelerated computing, develop efficient and scalable implementations, assist with the application of modern AI techniques.
Evangelize GPU-accelerated computing and Deep Learning, deliver training using NVIDIA GPUs and software for HPC and AI, g room power users to be NVIDIA champions.
Be an inspiring leader in integrating NVIDIA technology into IT architectures to support scientific and engineering applications.
Identify gaps and propose/develop prototypical solutions.
Information Technology & Services, Computer Software, Human Resources
Associate
Italy
2020
LinkedIn
Programming Languages (C++, Python, Java)
Software development/engineering
Business Development
Use Case Development
ML algorithms/models
Project Management
consolidated experience in C # language;
Experience in developing web API in Microsoft context, preferably with the use of asp.Net MVC framework and on relational databases, preferably MS SQL Server;
Experience in developing web applications on Cloud Azure
Experience in FE development with Javascript (Typescript) and at least one of the related frameworks (React, Angular 2+, Vue.JS);
Experience in Microsoft Cognitive Services or Bot Framework in the development of Chatbot solutions or cognitive systems on heterogeneous platforms;
Knowledge of one or more NoSQL databases (Mongo, Dymano, Cassandra, ....)
Design, development and testing of Artificial Intelligence projects, with a particular focus on chatbots and cognitive services.
Experience line managing a ML team/squad, including experience of hiring
Hands-on ML experience including both training & deploying of models and MLOps
Advanced Python and Lybraries
Leading a growing team, your role will involve a mixture of hands-on ML/ ML ops and top-level strategy. More specifically you’ll be:
Building, testing and deploying ML models across a variety of projects
Making ML Ops decisions such as determining where models live and how they ‘fit in’ with what we’re doing already
Building out the team – helping to decide who we hire and assisting in running interviews
Working closely with our existing ML Engineer and new hires, providing line management and training to support personal and professional development
Working closely with the CEO and lead developers to help determine which projects we address, the feasibility of various ideas and the order in which they should be executed
2-4 years of experience, preferably in a consulting company
Specialized degree in STEM subjects
Excellent academic path
Knowledge of advanced analytics tools (SAS, SPSS, Knime, Rapid Miner, Dataiku, etc.) and programming languages (R, Python, etc.)
Work experience on advanced analytics issues, including modelling, predictive analysis, statistics, machine learning and cognitive algorithms
Strong propensity/interest in new technologies and their application in Analytics areas
Your role will be focused on proactive and responsible execution of complex project activities, on the coordination of part of the project team and on supporting the Manager in customer management.
By acting with autonomy and authority within multifunctional teams, you will be responsible for the quality of your work and that of the team in which you will be included, positively influencing customers and your interlocutors through a clear, empathic and impact style of communication.
You will have the responsibility to share your experience and knowledge with younger colleagues and to be a point of reference for them in the realization of our ambition: “make an impact that matters”.
Previous experience in data processing, data pipelining and data analysis on data from sensors, equipment and industrial devices (Edge Analytics, Cloud Computing ...)
Previous experience on Business Intelligence systems and tools for viewing and reporting large amounts of data (eg: PowerBI, Tableau ...)
Previous experience in MATLAB, Python, C ++, Java, Scala
Experience in the administration and distribution of Big Data-oriented software systems (Kafka, Hadoop, Spark ...) and their management via Cloud platforms
Experience with SQL and NoSQL databases (MongoDB, Elasticsearch…).
Knowledge of Machine Learning and Deep Learning libraries such as Scikit-Learn, Tensorflow / Keras or Pytorch
Financial Services, Government Administration
Associate
France
2020
LinkedIn
Programming Languages (C++, Python, Java)
Neural network architectures
Data Analysis / Modelling
Administration/operation of complex Big Data type systems, within an ESN or an end customer.
In-depth knowledge of Linux technologies and strong skills in technical infrastructure architecture (Hadoop / Elastic).
Assume the role of Experienced Big Data Administrator
Administer and supervise the technical infrastructure of ICY (HADOOP, KAFKA, AKKA, ELASTIC)
Install and configure the components and resources of the platform
Ensure the transmission of appropriate procedures to the operations team
Ensure the quality and conformity of operations in compliance with the rules of art and procedures implemented at the AMF;
Manage access rights to servers and applications according to profiles.
Familiar with data science (tools, algorithms, environments) and its use
Expert in mathematics, statistics, analysis, computer science.
Able to transform a business objective into an analytical approach and an element of analytical knowledge into a value that can be used by the business.
Able to evolve in a complex environment and on cross-cutting issues
Expert in mathematics, statistics, analysis, computer science.
Define and follow its roadmap around the group's Data and AI solutions
Identify in the countries the "data" solutions that can be shared.
Lead the Data Scientists teams in charge of building solutions
Build the Business Case for the countries and defend/prioritize the deployment of solutions with the business departments.
Lead the group and country steering committees
Coordinate solution integration teams: local technical, group IT, change management with country business teams
The ALM manager is at the heart of the insurance activity with multiple contacts with the Allianz Group, the French departments of actuarial, risk, financial management, personal insurance and big data for the use of the latest machine learning tools applied to the ALM business.
Strong analytical skills, a spirit of synthesis and good presentation skills (frequent contacts with representatives of the AZ France board)
Good knowledge of financial product modeling and actuarial techniques
Fluency in English in an international context, German is a plus,
Realization of a project of semantic analysis and classification of exchanges from different channels, email processing being the first phase to be covered.
This project aims to propose a unified solution based on Machine Learning or Deep Learning (ML/DL) models coupled with open source frameworks.
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