MLOps Engineer MLOps, AWS Warsaw

Diverse CG Sp. z o.o. Sp.k.; Warszawa; On-site; PLN 80,000 - 100,000; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consultant

Job summary

Diverse CG Sp. z o.o. Sp.k. is looking for an experienced professional in Warsaw, Poland to support AI use cases through MLOps frameworks and AWS-based environments. The candidate will implement solutions, provision cloud infrastructure, and collaborate with teams to ensure operational stability.

Ideal candidates should have at least 5 years of experience in technical roles, strong understanding of AWS services, and excellent communication skills in English.

Qualifications

• Minimum 5 years of professional experience as an IT Developer or similar role.
• Strong hands-on experience with AWS services including SageMaker and Bedrock.
• Experience in provisioning AWS resources using Terraform.

Responsibilities

• Implement MLOps and Agentic AI Ops frameworks.
• Design AWS environments for AI/ML workloads.
• Work with AWS services to operationalize AI solutions.

Skills

MLOps frameworks

AWS SageMaker

Terraform

Cloud architecture

DevOps principles

Tools

AWS Bedrock

Glue

CloudWatch

Job description

Responsibilities

• Implement MLOps, GenAI Ops and Agentic AI Ops frameworks for AI use cases in the GFCP area
• Design and configure AWS-based environments supporting AI/ML workloads
• Work with AWS SageMaker and Bedrock to enable development, deployment and operationalization of AI solutions
• Provision and manage cloud infrastructure using Terraform
• Build and maintain automated workflows using AWS services such as Step Functions, Lambda, EventBridge and SNS
• Support integration of AI/ML solutions with data services including S3, Glue, Glue Catalog, Athena and Knowledge Bases
• Ensure proper security, monitoring, logging and governance using services such as IAM, VPC, KMS, CloudWatch, CloudTrail and X-Ray
• Collaborate with technical teams and stakeholders to deliver AI capabilities in line with program objectives
• Support scalable deployment and operational stability of AI solutions across cloud environments

Requirements

• Minimum 5 years of professional experience as an IT Developer, MLOps Engineer, Cloud Engineer or in a similar technical role
• Strong hands‑on experience with AWS SageMaker and AWS Bedrock
• Practical experience working with multiple AWS services, including Glue, S3, VPC, Step Functions, IAM, X‑Ray, Knowledge Bases, CloudWatch, CloudTrail, Glue Catalog, SNS, EventBridge, Lambda, EC2, ECS, Fargate, KMS, MLflow and Athena
• Experience in provisioning AWS cloud resources using Terraform
• Strong understanding of cloud‑native architecture and DevOps principles
• Experience in building, deploying and operationalizing AI/ML solutions in AWS environments
• Ability to work with complex cloud environments and support secure, scalable implementations
• Good communication skills and the ability to cooperate effectively with technical and business stakeholders
• Fluency in English (both written and spoken)

Offer

• Private medical care
• Co‑financing for the sports card
• Constant support of dedicated consultant