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    Machine Learning Engineer - Maharashtra, India - BMC Software

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    Description

    BMC is looking for a Data Science, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC's Helix Capacity Optimization product.
    Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
    • The Senior Product Developer for AI/ML will play a crucial role in designing, developing, and implementing advanced AI and machine learning models into our products and services. This role involves working in collaboration with other teams, refining AI/ML solutions, and contributing to the organization's innovation through AI/ML technologies. Responsibilities include:
    • Design, develop, and maintain high-quality software applications using Java and/or Python.
    • Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
    • Develop and implement software solutions that leverage GPT, LLM, and conversational AI technologies.
    • Integrate GPT and LLM models into the software architecture to enable natural language understanding and generation.
    • Develop conversational AI systems and chatbots that provide intuitive and human-like interactions.
    • Implement and maintain APIs and microservices to enable seamless integration of conversational AI functionality into existing applications.
    • Conduct thorough testing and debugging to ensure the quality, reliability, and security of the software applications.
    • Stay updated on the latest advancements in GPT, LLM, and conversational AI technologies, and propose innovative solutions and improvements.
    • Collaborate with product managers and stakeholders to define and prioritize features and enhancements.
    To ensure you're set up for success, you will bring the following skillset & experience:
    • 5+ relevant years of Experience in python, data science.
    • 5+ years of experience using ML to solve Natural Language Processing (NLP) use cases
    • Good understanding of machine learning algorithms, tools and platforms
    • Experience in toolkits such as NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, Keras, Genism, etc. PyTorch is a must.
    • Working knowledge of Word2Vec, NLTK, BERT
    Whilst these are nice to have, our team can help you develop in the following skills:
    • Understanding of encoder and encoder-decoder model architectures.
    • GPT based training will be a plus.
    • Knowledge of the latest techniques in this space such as Lora adaptors, PEFT, quantization
    • Experience in practical training cycles
    • Experience with GPU usage
    • Experience with inference accelerators
    • Knowledge of fine tuning LLMs including BERT and GPT base.


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