ML/AI Engineer

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Description

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. 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. Qualifications Minimum 4 years of hands-on experience working on ML/A I 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. E

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