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    Coforge - Machine Learning Engineer - PySpark/Python - Gurugram, India - COFORGE

    COFORGE
    COFORGE Gurugram, India

    3 days ago

    coforge background
    Description

    Responsibilities :

    Model Deployment & Management :

    • Ensure seamless operation of deployed machine learning models within the RCP platform.
    • Monitor and troubleshoot model performance for accuracy and efficiency.
    • Collaborate with data scientists and software engineers to optimize model pipelines for production.

    Machine Learning Operations (MLOps) :

    • Utilize Airflow to schedule and orchestrate the execution of machine learning pipelines, ensuring timely and efficient processing.
    • Develop and implement logging strategies to capture application and Airflow logs for monitoring and analysis.
    • Design and maintain workflows for MLOps processes within the team.

    Data Engineering & Integration :

    • Utilize PySpark for handling the complete data flow, including data cleaning, transformation, and feature engineering for machine learning models.
    • Integrate various data sources and services within the machine learning pipelines.

    Technical Expertise :

    • Leverage Python and PySpark as your primary tools for data manipulation and machine learning development.
    • Utilize Spark Streaming for realtime processing of data streams.
    • Possess a working knowledge of AWS cloud platform, Docker containers, and Kubernetes for potential deployments.

    Problem-Solving & Communication :

    • Debug and troubleshoot issues that arise during the execution of machine learning pipelines.
    • Collaborate effectively with data scientists, software engineers, and platform operations teams to resolve challenges and optimize solutions.
    • Document technical processes and findings clearly.

    Qualifications :

    • 48 years of experience as a Machine Learning Engineer or related field.
    • Strong understanding of machine learning concepts, algorithms, and methodologies.
    • Expertise in Python and PySpark for data analysis and machine learning development.
    • Experience with Airflow for scheduling and orchestrating machine learning pipelines.
    • Familiarity with MLOps principles and practices for model deployment and management.
    • Experience integrating different data sources and services within machine learning pipelines.
    • Strong problemsolving and debugging skills.
    • Excellent communication and collaboration skills.

    Bonus Points :

    • Experience working with AWS, Docker, and Kubernetes technologies.
    • Experience in a travel technology or hospitality domain.
    )
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