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    Senior Machine Learning Engineer - Delhi, India - Munif Enterprise Consulting

    Munif Enterprise Consulting
    Munif Enterprise Consulting Delhi, India

    3 weeks ago

    Default job background
    Technology / Internet
    Description
    Company Description

    Munif Enterprise Consulting is a team of tech-savvy individuals who embrace technical challenges and are passionate about solving them.

    Our team consists of experts who have diverse IT experience and are committed to pushing existing projects further than ever before.

    We have clients from the US, UK, Middle East, and Asia.


    Position:
    Machine Learning Engineer

    Work location:
    Remote

    Year of Experience:
    7 to 12

    Years
    Immediate to max 20 days


    Role Summary:


    We are seeking a Machine Learning Engineer (MLE) who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects.

    The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to work seamlessly with existing models and deploy new models into production.


    Key Responsibilities:
    Develop, optimize, and deploy machine learning models to support project objectives.
    Process and analyze large datasets to inform model development and enhancements.
    Maintain and improve existing machine learning models within our systems, ensuring they meet our standards for accuracy and performance.
    Collaborate with cross-functional teams to integrate machine learning solutions into our operational framework.
    Utilize software development tools to maintain a robust, scalable codebase.
    Apply a variety of machine learning techniques (e.g., statistics, clustering, classification, outlier analysis) to solve complex problems.


    Basic Qualifications:
    Proficiency in Python and knowledge of key machine learning packages such as numpy, pandas, scikit-learn, and xgboost.
    Understanding of data structures, data modeling, software architecture, and software development tools, including Git and virtual environments.
    Demonstrated ability to apply machine learning techniques to solve real-world problems.
    Experience in deploying machine learning models in code and working with existing models.
    Strong problem-solving skills and the ability to work independently or as part of a team.


    Preferred qualifications:
    Experience in building and accessing API endpoints.
    Cloud computing experience, particularly with AWS.
    Experience with deploying open source deep learning models, with a preference for those related to Life Sciences.
    Proficiency in Deep Learning frameworks, such as PyTorch.
    Experience in building and managing MLOps pipelines.
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