ML/AI Engineer

The position involves working on production-grade artificial intelligence solutions for a large insurance company, focusing on the end-to-end delivery of AI capabilities in the insurance sector.

• 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.

• 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.