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    Machine Learning Engineer - Washington DC, United States - Zs Associates

    Zs Associates
    Zs Associates Washington DC, United States

    2 weeks ago

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    Description

    As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people.

    and that's why here your ideas elevate actions, and here you'll have the freedom to define your own path and pursue cutting-edge work.

    We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more.

    Our most valuable asset is our people.

    Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

    Machine Learning Engineer
    ZS AI Practice is building transformative AI-enabled data products and solutions.

    ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing.

    Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms.

    Build , orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training
    Scaling machine learning algorithms to work on massive data sets and strict SLAs
    Build & Enhance ML Engineering platforms and components
    Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop
    Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
    Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
    Collaborate with client teams and global development team to successfully deliver projects
    Participate in scrum calls, and effectively communicate work progress, issues and dependencies
    Bachelor's/ Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline
    ~Strong programming expertise in Python / PySpark
    ~ Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms
    ~ Experience in deploying models to cloud services like AWS, Azure, GCP
    ~ Expertise in crafting ML Models for high performance and scalability
    ~ Experience in implementing feature engineering, inferencing pipelines and real time model predictions
    ~ Experience in ML Ops to measure and track model performance
    ~ Good fundamentals of machine learning and deep learning
    ~ Knowledgeable of core Computer Science concepts such as common data structures , algorithms , and design patterns
    ~ Understanding ofDevOps,CI / CD, data security, experience in designing on cloudplatform
    Experience in data engineering in Big Data systems

    ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development.

    We are committed to giving our employees a flexible and connected way of working.

    A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week.

    At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond.


    To Complete Your Application:

    In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19.

    Proof of vaccination can be voluntarily provided upon acceptance of offer of employment.
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