
W skrócie
zdania wybrane z oferty- Design, build and maintain ML/AI models in a production environment.
- Deploy and scale AI solutions using AWS services, including SageMaker, Bedrock and container orchestration on ECS/EKS.
- Integrate models and systems with the existing ecosystem via APIs, REST, microservices and related integration tools.
Technologie
Pełny opis
z justjoin.itWe 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/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.
Benefits
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.
Treść ogłoszenia pochodzi z justjoin.it i należy do jego autora.
Historia oferty
bez zmian od publikacji- Opublikowana na justjoin.it