Our Company: Deloitte is one of the leading professional services firms, providing audit, consulting, financial advisory, risk management, tax and legal services through around 3 000 people in 16 offices across 10 countries of the region.
9 сентября 2021

Data Science Engineer (вакансия неактивна)

Киев, удаленно

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:

Deloitte is looking for professional engineers to join our new project: Cortex AI.

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.