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    NO C2C Or SPONSORSHIP AVAILABLE: Azure ML Ops Engineer - Farmers Branch, TX, United States - TEKsystems

    TEKsystems
    TEKsystems Farmers Branch, TX, United States

    3 weeks ago

    TEKsystems background
    Full time
    Description

    NO C2C Or SPONSORSHIP AVAILABLE:

    Description:

    NEED TO HAVE SKILLS

    1. 3+ years of experience operationalizing AI/ML models within an Azure environment with 10 year of total engineering experience

    2. Strong Python and Docker/Kubernetes experience

    3. 2+ Experience with Azure AI/ML services

    1. This role ideally contract to hire

    POSITION SUMMARY:

    With this collaborative care approach, we are redefining patient care. We are seeking a passionate Azure

    ML Ops engineer to create data platform and pipeline to enable advanced analytics.

    ML OPS Engineers are the crafters of automation, turning data-driven models into practical applications.

    They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real world deployment. Their expertise in machine learning frameworks and software engineering ensures that the

    predictive power of models seamlessly integrates into everyday operations.

    ESSENTIAL DUTIES:


    • Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot

    Services to design, create, and deploy AI/ML based applications.


    • Include AI components into data workflows, engage with data scientists and data engineers.


    • Utilize Azure AI services to implement natural language processing (NLP) create and implement

    machine learning models and algorithms.


    • Automate the deployment and monitoring of AI models, collaborate with DevOps teams.


    • Use AI to automate processes such as sentiment analysis, image identification, recommendation

    systems, and chatbots.


    • Implementing machine learning pipelines and workflows


    • Deploying and scaling ML models in production environments


    • Automating CI/CD pipelines to account for data, code, and model changes


    • Monitoring model performance and applying updates as needed


    • Ensuring the security and compliance of machine learning systems


    • Collaborating with data scientists to optimize models and improve performance

    POSITION REQUIREMENTS & COMPETENCIES:


    • Bachelor's Degree, (BA/BS) in Information Systems from a four-year college or university and 5 or more

    years of development experience required or equivalent combination or education and experience


    • Travel up to 25%


    • Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18

    months focused on ML Ops


    • Strong programming skills, preferably in languages like Python, Java, or Scala


    • Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn


    • Experience with containerization technologies, like Docker and Kubernetes


    • Familiarity with ML model deployment tools, such as MLflow or Kubeflow


    • Working experience in Azure cloud platform

    Skills:

    Python, Azure

    Top Skills Details:

    Python,Azure

    Additional Skills & Qualifications:

    Understanding of data science and DevOps/MLOps. Ability to stand up a green field environment

    Experience Level:

    Expert Level

    About TEKsystems:



    We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

    The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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