Senior Machine Learning Engineer - Bengaluru, India - Quantzig

    Quantzig
    Quantzig Bengaluru, India

    2 weeks ago

    Quantzig background
    Accounting / Finance
    Description

    About Quantzig:

    Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning, and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we're looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

    Please find the job description below.

    Experience: 6 to 8 Yrs

    Technical Skills:


    • Expert knowledge in object-oriented Python programming.


    • 6 to 8 years of experience in developing and deploying machine learning models.


    • Understanding of various types of AB testing and causal inference methodologies.


    • Expertise in DataBricks and PySpark for data processing and analysis.


    • Experience in cloud deployment, specifically on Azure.


    • Proficiency in FastAPI for building APIs, Docker for containerization, and GIT.


    • Experience in CI/CD integration tools for automated testing and deployment pipelines.


    • Familiarity with package managers such as PIP and POETRY for managing dependencies.


    • Experience with feature development and deployment in a production environment.

    Good to Have:


    • Knowledge of advanced machine learning algorithms for predictive modelling.


    • Proficient in both data science and machine learning techniques.


    • Collaboration experience with institutions for research projects.

    Soft Skills:


    • Problem-solving mindset to address complex machine learning challenges.


    • Ability to work independently and as part of a team to deliver high-quality solutions.


    • Detail-oriented approach to ensure accuracy and efficiency in model development and deployment.