ML/AI Engineer

About the project

We are seeking an experienced ML/AI Engineer to join a team delivering production-grade artificial intelligence solutions for a large insurance company. This engagement supports a major insurance company and involves the end-to-end delivery of AI capabilities for production use. The role requires a balance of machine learning development, systems architecture and integration work.

Your responsibilities

• Design, build and maintain ML/AI models in a production environment.
• Train models from scratch and perform fine-tuning of pre-trained models.
• Deploy and scale AI solutions using AWS services, including SageMaker, Bedrock and container orchestration on ECS/EKS.
• Design IT solution architectures following proven design patterns and best practices.
• Integrate models and systems with the existing ecosystem via APIs, REST, microservices and related integration tools.
• Collaborate with backend teams and business stakeholders to define requirements and implement solutions.
• Ensure code quality, maintain documentation and apply MLOps practices such as model monitoring, versioning and CI/CD for ML.

Our requirements

• Minimum 4 years of hands-on experience working on ML/AI projects in production environments.
• Proven experience in IT solution design and familiarity with software design patterns.
• Advanced proficiency in Python.
• Practical knowledge of AI/ML frameworks and workflows, including PyTorch and TensorFlow; experience building, training and fine-tuning models; awareness of MLOps principles.
• Experience with AWS Cloud services relevant to ML/AI: SageMaker, Bedrock, ECS/EKS.
• Experience integrating systems via API, REST, Web Services; familiarity with Swagger UI and frameworks such as FastAPI.
• Working knowledge of databases.
• Familiarity with Java Spring Boot and microservice development.
• Knowledge of integration tools and practices.
• Practical English language skills for oral and written communication, approximately B2/C1 level.

What we offer

• Work on enterprise-scale AI solutions within the insurance sector, with impact on critical business processes.
• Remote working.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Outstanding integration trips to various places in Europe.
• Activities to support your well-being and health.
• Luxmed Gold Extended medical care and Multisport Plus benefit.

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities

Recruitment stages

• Screening Call
• Cultural Fit Interview
• Technical Interview
• Final Round Interview

YOUR ITEAMS sp. z o.o.

Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.

Agile approach and no bureaucracy.

This is how we work