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  • Cloud Engineer (MLOps, GenAI)
    Python

    Cloud Engineer (MLOps, GenAI)

    Wrocław
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      GenAI

      regular

      Machine Learning

      regular

      AWS

      regular

      Serverless

      regular

      Terraform

      regular

      Lambda

      regular

      Python

      regular

      MLOps

      regular

      Amazon Bedrock

      junior

    Job description

    Online interview

    Ready for an adventure with AWS & AI? Join us!

    We are one of the fastest-growing AWS Partners in Europe, and our strength lies in the experience gained from delivering innovative IT projects for companies across various industries – from telecommunications and finance to startups.

    Here, you’ll have the opportunity to dive deep into AWS, working on migration projects, ensuring security, and exploring the latest technologies in the Data & AI area.

    Together, we drive innovation and help businesses unlock limitless possibilities!

     

    You Will: 

    • Designing, implementing, and testing GenAI-based solutions in the AWS cloud environment
    • Developing and optimizing GenAI models using AWS tools and services such as SageMaker, Lambda, EC2, S3, and other AI/ML tools
    • Integrating AI solutions with existing infrastructure, based on serverless architectures
    • Implementing automation mechanisms for model training, ML pipelines, and CI/CD for AI solutions 
    • Analyzing training data and preparing it for training generative models
    • Developing and deploying real-time data processing and model training solutions

     

    Preferred Qualifications: 

    • Minimum 1,5-2 years of experience in the area of ML / MLOps, data engineering, GenAI (or related in AWS)
    • Proficiency in Python programming and familiarity with AI frameworks
    • Hands-on experience in training and optimizing GenAI models
    • Excellent verbal skills (English) and a human-friendly approach
    • General willingness to help customers while they're struggling with technical problems
    • Good understanding of software engineering best practices such as code reviews, source control management, build processes, testing, deployment, release, and change management

     

    We offer:

    • Continues education
    • Paid leave
    • Sponsored AWS certification
    • Training budget
    • Flexible schedule
    • Free English classes
    • Multisport card subsidy

     

    Stay up to date with us: Follow our blog regularly and participate in the events we organize.

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