Senior Machine Learning Engineer - Pune, India - Helpshift

    Helpshift
    Helpshift Pune, India

    2 weeks ago

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    Description

    Senior ML engineer

    Keywords is the largest technology and service provider in the video game industry with 13,000+ passionate game developers and technology builders globally. As a leader in such a

    technology driven creative industry R&D is critical to support our internal technology teams, our

    game production work for clients, and our industry.

    We are proud to be building a new AI research team in Pune to explore the many ways AI will

    enhance how games are made, run, supported, and played. If you are an explorer who needs to

    know what's over the horizon we want to hear from you.

    About the Role:

    • Research and evaluate the latest AI technologies in gaming.
    • Rapidly prototype solutions in the deep learning and generative AI spaces.
    • Work with open-source LLMs for training, fine-tuning, inference, and evaluation.
    • Experiment with multimodal models for problem statements in text, image, and video.
    • Foster an environment of creativity and experimentation where we learn as much from
    • experiments that fail, as we do from those that succeed.
    • Mentor team members and contribute to the development of the organization.

    About You:

    • Bachelor's Degree in Computer Science, Engineering, Statistics, or a related field. 5+ years of working experience in at least one of the advanced machine learning areas, including computer graphics, reinforcement learning, recommendation systems, and natural language processing.
    • Proficiency in the Python programming language.
    • Experience with PyTorch, TensorFlow, or similar frameworks.
    • Experience with new LLM engineering tools like LangChain, Vector DBs, etc.
    • Strong communication skills with the ability to explain complex technical concepts in simple terms.
    • Passion for gaming and AI.

    What We Believe In:

    • We believe AI can support human creativity but can't replace it.
    • We thrive in a fast-paced environment, tackling cutting-edge problems through constant testing and learning.
    • The best way to predict the future is to invent it.