Senior MLOps Engineer (AWS / GenAI)

💻Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

 By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

 

🔹 For our Client from banking industry we are looking for 🔹 Senior MLOps Engineer (AWS/GenAI)🔹

Location: Warsaw

Hybrid work: 3 days per week at the office.

We are looking for an experienced Senior MLOps Engineer to support the implementation of advanced AI solutions within a large-scale program in the GenAI / AI domain.

In this role, you will be responsible for building and operationalizing MLOps / GenAI Ops / Agentic AI pipelines on AWS, enabling production-grade AI solutions for business-critical use cases.

🚀 Key responsibilities

  • Design and implement MLOps / GenAI Ops frameworks for production AI use cases
  • Build and manage end-to-end ML pipelines (training, deployment, monitoring, retraining)
  • Work with LLM-based solutions (GenAI) using AWS Bedrock
  • Develop and maintain scalable AI/ML infrastructure on AWS
  • Orchestrate workflows using services such as Step Functions, EventBridge, and Lambda
  • Provision and manage cloud infrastructure using Terraform (Infrastructure as Code)
  • Ensure proper monitoring, logging, and observability (CloudWatch, X-Ray, CloudTrail)
  • Collaborate with cross-functional teams (Data, AI, Engineering) to deliver AI solutions
  • Support implementation of agent-based AI systems (Agentic AI)

🛠️ Must-have skills

Strong hands-on experience with AWS cloud (advanced level)

Practical experience with:

  • AWS SageMaker
  • AWS Bedrock (GenAI / LLMs)

Broad knowledge of AWS ecosystem, including:

  • Data: S3, Glue, Glue Catalog, Athena
  • Compute: Lambda, EC2, ECS, Fargate
  • Orchestration: Step Functions, EventBridge, SNS
  • Security & networking: IAM, VPC, KMS
  • Monitoring: CloudWatch, X-Ray, CloudTrail

Experience in building MLOps pipelines or ML platforms

Hands-on experience with Terraform (IaC)

Experience with tools like MLflow

Strong understanding of ML lifecycle and deployment challenges

  • Contact person: karolina.malyska@eworkgroup.com

    Client code: BN01

    Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com

    Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility

  • Locations: Remote
  • Technologies: AWS SageMaker, Amazon Web Services (AWS), MLOps, Serverless, Terraform
  • Language: English