Data Science Engineer Offline

Requirements:

Education: Bachelor’s degree (IT/Software Enginnering/Mathematics)

Must have:

- Work experience: 3+ years

- Strong expertise in:

- Machine Learning and Data Science

- Statistics (probability distribution, hypothesis testing)

- Classical ML algorithms (Linear Regression, Decision Trees, SVM, Clustering, etc.)

- MLOps (BentoML, Docker, Kubernetes, KubeFlow, KNative)

- Python (PyTorch or Tensor)

- General programming skills (OOP, OO design, MVC, Design patterns)

- Solid understanding of ML/DS processes (from data preparation to model deployment)

- Proven portfolio of successful projects

- Participation in team projects

- Good verbal and written communication English skills (Upper Intermediate level)

- Experience in data extraction, cleansing, and preparation for ML training and test data sets

- Experience in analysis of structured and unstructured / semi-structured data (e.g. raw text, json, xml)

- Statistical Analysis & Modelling experience

- Good knowledge of Predictive Modelling, Regression and Classification techniques

- Good knowledge of Deep learning tools and techniques

- Understanding and knowledge of Natural Language Processing (NLP) applications

- Any BigData platform knowledge and/or experience (Apache Spark, Hadoop, Hive etc)

Good to have:

- Hackathons/Kaggle experience

- Data Visualisation (e.g. using Python, Tableau, R Shiny)

- Hands on experience developing with relevant Python toolkits

- Experience with:

- C# and .Net

- Go, Scala

- DataRobot, Chatterbox Labs, Google ML, Ludwig

- Working with sensitive data

- Desirable Data Engineering skills

- General knowledge of enterprise data architecture and data modelling

- Relational database modelling including transactional systems and data warehousing

- NoSQL databases e.g. MongoDB, Cassandra, Elasticsearch, Graph databases

- Experience working with Unix command line and shell scripting

- Cloud Architecture or Engineering experience with emphasis on data and analytics services

- Relevant certifications in Microsoft Azure or AWS

- Knowledge of deployment specifics of ML models in CI/CD

- Hands-on experience with microservice architectures and containerisation (e.g. Docker and Kubernetes)

- Experience developing and working with REST APIs

Personal skills:

- Passionate about technology

- Eager learner of new technologies and systems

- Written, verbal and interpersonal communication skills

- Team player attitude

Responsibilities:

- Bring new ideas in software development

- Leverage industry knowledge and stay close to technology developments

- Collaborate with cross-functional teams

We offer:

- Medical Insurance;

- 20 working-days paid vacation and other social benefits;

- Mid-year and annual performance review with a constructive feedback and development plan;

- Continuing education/training;

- Free access to global online educational platforms;

Project:

Cortex AI Platform streamlines the building, management, and deployment of ML models and in a no-code / low-code fashion, empowered by an in-house orchestration of continuously expanding landscape of third-party AutoML engines (DataRobot, Chatterbox Labs, Google ML, Ludwig, etc.) and open source container orchestration framework (Kubeflow).

Project development is expected to last for at least few years, with 30+ engineers involved (Ukrainian side only). You will be able to influence the project key solutions and

SCRUM and SAFe is used as a development process methodology: 2-week sprints and releases once per quarter are expected.

The system is implemented using the following technologies and tools: C#, .Net, Python, Go, React, JavaScript, AWS, and Kubernetes.