Jobs

    Senior Machine Learning Engineer - Anywhere in India/Multiple Locations - MATELLIO INDIA PRIVATE LIMITED

    MATELLIO INDIA PRIVATE LIMITED
    MATELLIO INDIA PRIVATE LIMITED Anywhere in India/Multiple Locations

    2 days ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    We are looking for a strong engineer who has a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning responsible LLMs LLM alignment reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

    Qualifications :

    - Minimum 5 years of experience in NLP.

    - Master's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.

    - Programming experience in Python.

    - Hands-on experience ML, NLP, Genrative AI,LLM and DL.

    Research experience in them is a plus.

    - Hands-on experience with DL frameworks like PyTorch/TensorFlow.

    Must have experience with training/finetuning and deploying a DL NLP model.

    - Hands-on experience with instruction tuning and SFT on LLM.

    Experience with model quantization or computational optimizations is a plus.

    - Proficient in leveraging LangChain for the development and integration of LLMs into diverse applications, demonstrating a strong ability to enhance AI functionalities through innovative uses of natural language processing and understanding.

    - Experience with developing ML models at scale from inception to production.

    - Familiarity with one of the cloud platforms like AWS, GCP, and Azure.

    - Experience with applying LLMs in the Healthcare space is a plus.

    - Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

    Responsibilities :

    - Design methods, tools, and infrastructure to push forward the state of the art in large language models.

    - Deploy, monitor, and manage ML models in production, ensuring high availability and low latency.

    - Manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools.

    - Define research goals informed by practical engineering concerns.

    - Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

    - Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

    Preferred Qualifications :

    - Master's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.

    - A Ph.D. in AI, computer science, data science, or related technical fields.

    - Direct experience in generative AI and LLM research.

    - Healthcare Domain experience

    - First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

    )


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