Data & ML Engineer - Tietoevry Create (m/f/d)

  • Винница
  • Постоянная работа
  • Полная занятость
  • 4 д. назад
Tietoevry Create Ukraine (formerly Infopulse Ukraine) is looking for a skilled and motivated Data & ML Engineer to join our IT team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and decision-making, as well as develop and deploy AI agents and generative AI solutions. You will collaborate closely with analysts and software engineers to ensure efficient data flow and integrity across systems.What you will do
  • Design, develop, and maintain reliable data pipelines and ETL processes
  • Build and optimize data systems and architectures for real-time and batch processing
  • Develop AI agents using LLMs, multi-agent frameworks, and advanced prompting strategies
  • Build and maintain vector databases and embedding pipelines for semantic search and RAG
  • Integrate search engines and retrieval systems with AI agents
  • Develop and manage data models, schemas, and integration strategies
  • Ensure data quality, consistency, and security across all platforms
  • Work with cloud technologies (AWS, Azure, GCP) to deploy and manage solutions
  • Monitor and troubleshoot data infrastructure performance
  • Document data flows, processes, and best practices
Who we are looking for
  • Bachelor's or Master's degree in Computer Science, Data/ML Engineering, or related field
  • Strong knowledge of SQL and Python
  • Experience with ML libraries (Transformers, LangChain) and foundation models (GPT, Claude, etc.)
  • Background in Machine Learning, statistical data processing, and distributed ETL pipelines
  • Familiarity with data warehousing, big data technologies (e.g., Spark), and data lakes
  • Hands-on experience with cloud-based data services (AWS Glue, Azure Data Factory, GCP Dataflow)
  • Knowledge of Elasticsearch/OpenSearch integration and optimization
  • Strong problem-solving skills and attention to detail
Preferred qualifications
  • 3+ years of experience in ML engineering, including work with generative AI
  • Knowledge of transformer architectures and attention mechanisms
  • Experience with Docker/Kubernetes for deployment and orchestration
  • Familiarity with CI/CD pipelines and version control (Git)
  • Relevant certifications (AWS, Google Cloud, etc.)
We offer
  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge data and AI projects
  • Collaborative and supportive team environment
  • Career development and continuous learning opportunities
  • Flexible work arrangements

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