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    Lead Machine Learning Engineer - Bangalore/Anywhere in India/Multiple Locations - TalentPulse Consultant

    TalentPulse Consultant
    TalentPulse Consultant Bangalore/Anywhere in India/Multiple Locations

    1 day ago

    Default job background
    permanent Technology / Internet
    Description
    Lead ML Engineer Job Description :

    We are looking for a proactive Lead ML Engineer to become part of our team remotely, operating within UK shift timings of 2pm to 11pm IST.

    As the Lead ML Engineer, your main task will be to guide the development and application of machine learning solutions to tackle intricate business situations.

    Responsibilities :
    • Supervise a group of data scientists and machine learning engineers to create, develop, and implement machine learning models and algorithms.
    • Work together with multifunctional teams like product managers, software engineers, and business stakeholders to set project goals and outcomes.
    • Perform investigative data analysis to grasp patterns, trends, and correlations in vast datasets.
    • Devise and set up scalable machine learning pipelines and workflows to manage and evaluate data effectively.
    • Apply cutting-edge machine learning algorithms and methods to fix business issues and enhance processes.
    • Assess model performance and continuously enhance model precision, stability, and scalability.
    • Ensure adherence to top standards for data privacy, safety, and ethical data usage.
    • Guide and instruct junior team members, delivering advice on technical obstacles and professional advancement.
    • Keep yourself informed about the most recent developments in machine learning research, tools, and methods.
    Requirements :
    • Completion of a Bachelor's or Master's degree in Computer Science, Mathematics, or a related discipline.
    Years of involvement in machine learning, data science, or related fields.
    • Proficient in programming languages like Python, R, or Scala.
    • Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikitlearn, etc.
    • Sound knowledge of machine learning algorithms, statistical techniques, and data structures.
    • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
    • Exceptional problem-solving skills and keen attention to detail.
    • Strong communication abilities and a talent for collaborating with multifunctional teams.
    • Previous involvement in a leadership or mentorship position is preferred.
    • Exposure to working in a remote setup or across various time zones is beneficial.
    )


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