ML/AI Engineer

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Description

Обязанности: 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. Опыт: 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 or

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