MLOps Engineer MLOps, AWS Warsaw

DCG Poland; Warszawa; On-site; PLN 120,000 - 160,000; Full time

Benefits offered by this job

Private medical care

Co‑financing for the sports card

Support from a dedicated consultant

Job summary

DCG Poland is looking for a skilled Cloud Engineer to enhance our AI capabilities. The candidate will design and implement cloud solutions using AWS services such as SageMaker and Terraform.

This role requires a minimum of 5 years of experience in IT development or similar positions. Strong knowledge of cloud architecture and DevOps principles is essential. We offer private medical care and support for a sports card.

Qualifications

• Minimum 5 years of experience in IT Development or similar.
• Hands-on experience with AWS SageMaker and Bedrock.
• Ability to provision AWS resources using Terraform.

Responsibilities

• Implement MLOps and AI Ops frameworks for use cases.
• Design AWS environments for AI/ML workloads.
• Manage cloud infrastructure and create automated workflows.

Skills

AWS SageMaker

AWS Bedrock

Terraform

AWS Glue

AI/ML Solutions

Cloud Infrastructure

DevOps Principles

Cloud Security

AWS Lambda

Communication Skills

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