MLOps / Gen AI Engineer

Salary: 1100–1400 PLN/day on B2B
Work model: Remote

Why choose this offer?

• Flexible work organization
• International work environment with daily use of English
• Scandinavian organizational culture supporting work-life balance and additional training financed by Jit
• Regular integration meetings with the Jit community

Project

As an MLOps / Gen AI Ops Engineer, you will be responsible for implementing MLOps, Gen AI Ops and Agentic AI Ops for the AI use cases planned for delivery within the GFCP area. You will design and operate the end-to-end machine learning and generative AI lifecycle on AWS — from provisioning cloud infrastructure as code to deploying, monitoring and maintaining models and AI agents in production. This role requires solid hands-on AWS expertise combined with strong collaboration skills to deliver against program objectives across teams.

Responsibilities

• Implement MLOps, Gen AI Ops and Agentic AI Ops for AI use cases in the GFCP area
• Build and operate ML/GenAI pipelines using AWS SageMaker and Bedrock
• Provision and manage AWS cloud resources using Terraform (Infrastructure as Code)
• Integrate and orchestrate a broad range of AWS services across the ML lifecycle
• Set up monitoring, logging and observability for models and AI agents
• Work closely with the team to maintain the pace needed to deliver program objectives within agreed timelines

Expected competences and knowledge

• Good hands-on experience with AWS SageMaker and Bedrock services
• Experience working with multiple AWS services: Glue, Glue Catalog, S3, VPC, Step Functions, IAM, X-Ray, Knowledge Base, CloudWatch, CloudTrail, SNS, EventBridge, Lambda, EC2, ECS, Fargate, KMS, MLflow and Athena
• Experience provisioning AWS cloud resources using Terraform
• Collaborative approach and ability to achieve goals through communication and teamwork in an Agile setup (SAFe Framework)

Technologies

• AWS SageMaker
• AWS Bedrock
• Terraform
• AWS Glue
• AWS S3
• AWS VPC
• AWS Step Functions
• AWS IAM
• AWS X-Ray
• AWS CloudWatch
• AWS CloudTrail
• AWS SNS
• AWS EventBridge
• AWS Lambda
• AWS EC2
• AWS ECS
• AWS Fargate
• AWS KMS
• AWS Athena
• MLflow
• MLOps
• Gen AI Ops
• Agentic AI Ops