Data & ML Engineer - Tietoevry Create (m/f/d)
TietoevryUkraine13 days ago
Full-timeEngineering, Information Technology
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Job Description
We are 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
At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion (tietoevry.com)
We are 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
- Bachelor’s or Master’s degree in Computer Science, Data/ML Engineering, or related field
- Strong knowledge of SQL and Python
- 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)
- Strong problem-solving skills and attention to detail
- 3+ years of experience in ML engineering, including work with generative AI
- Experience with statistical data processing, and distributed ETL pipelines
- Experience with ML libraries (Transformers, LangChain) and foundation models (GPT, Claude, etc.)
- Knowledge of transformer architectures and attention mechanisms
- Knowledge of Elasticsearch/OpenSearch integration and optimization
- Experience with Docker/Kubernetes for deployment and orchestration
- Familiarity with CI/CD pipelines and version control (Git)
- Relevant certifications (AWS, Google Cloud, etc.)
- 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
At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion (tietoevry.com)
Key Skills
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