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  • Senior Software Engineer (Machine Learning- MLops)
    Python

    Senior Software Engineer (Machine Learning- MLops)

    7 585 - 9 271 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Kubernetes

      advanced

      Python

      advanced

      MLOps

      advanced

      Machine Learning

      regular

      AWS

      regular

      Azure

      regular

      LLM

      nice to have

    Job description

    Online interview

    Are you passionate about working with cutting-edge technologies, tackling complex data integration challenges, and enabling seamless operations in multi-cloud environments? Join our team and play a pivotal role in shaping the future of Data ETL for Large Language Models (LLMs)!


    We specialize in building ETL workflows for Retrieval-Augmented Generation (RAG) systems, empowering businesses to unlock the potential of unstructured data. With several trusted partners and an expanding vision, we are looking to add a new team member to grow our capabilities.


    You will:

    • Collaborate on integrating various databases, applications, and model providers, including AWS Bedrock.
    • Build and maintain robust ETL pipelines for unstructured data across multi-cloud environments (Azure, AWS, and potentially GCP).
    • Work closely with cross-functional teams to deliver scalable, secure, and efficient solutions.
    • Contribute to infrastructure as code (IaC) practices using Pulumi and ArgoCD.
    • Provide public-facing on-call support as needed, ensuring seamless operations and addressing customer concerns promptly.


    Key Responsibilities

    • Develop and deploy scalable solutions for integrating LLMs into RAG workflows.
    • Enhance multi-cloud deployment capabilities to support Azure, AWS, and other platforms.
    • Design and implement MLOps pipelines and automation for efficient model lifecycle management.
    • Serve as a critical point of contact for public-facing on-call support, addressing technical issues effectively.
    • Work in close collaboration with teams across UI, API layers, and infrastructure components.


    What you’ll need to succeed in this role:

    • Proven expertise in Kubernetes and Python: Demonstrated experience building and managing containerized applications.
    • Strong MLOps background: Hands-on experience in developing and maintaining MLOps pipelines.
    • Prior on-call experience: Ability to manage and resolve incidents in public-facing roles with professionalism.
    • Excellent communication skills: Proficiency in written and spoken English to effectively interact with external and internal stakeholders.
    • Multi-cloud experience: Familiarity with Azure and AWS is essential; GCP experience is a plus.
    • Infrastructure as Code (IaC): Proficiency with tools like Pulumi and ArgoCD.


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    7 585 - 9 271 USD

    Net/month - B2B

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