Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
About the role
- MLOps Engineer working on machine learning infrastructure and pipelines with collaborative teams. Involves model deployment, monitoring, and cross-functional collaboration.
Responsibilities
- Designing, building, and maintaining machine learning infrastructure and pipelines
- Collaborating with data scientists, pricing analysts, engineers, and business stakeholders
- Developing and managing scalable ML pipelines for training, validation, and deployment
- Automating model versioning, packaging, and deployment processes using CI/CD tools
- Assessing current solutions, identifying risks, and proposing improvements
- Developing infrastructure concepts and actionable roadmaps for goals
- Ensuring seamless integration with other data sources and systems
- Designing and maintaining Azure Databricks, Datafabric, and Datalake infrastructure
- Optimizing compute resource usage for cost-efficiency and performance
- Building monitoring systems to track model performance and operational metrics
- Contributing to initiatives around customer data ownership and quality
- Educating teams on hypothesis testing and A/B testing frameworks
- Promoting model governance, security, and compliance throughout the ML lifecycle
Requirements
- Proven experience in MLOps, data engineering, or analytics infrastructure
- Strong knowledge of ML frameworks and MLOps tools (e.g. MLflow)
- Familiarity with API development, authorization, monitoring and logging for APIs
- Knowledge of data versioning and model tracking tools
- Experience with cloud platforms (Azure Databricks, Datafabric, Datalake, and BigQuery)
- Proficiency in Python and experience with automation and orchestration tools
- Familiarity with monitoring and logging
- Understanding of digital marketing data flows and BPM systems
- Ability to communicate complex technical concepts to non-technical stakeholders
- Fluency in English and understanding of one of the Baltic languages.
Benefits
- Health insurance
- Additional vacation days
- Discounts on products for you and your family
- Special gifts for birthdays
- Personal development and training opportunities
- Wellbeing activities in the office
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