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    Machine Learning Engineer - Delhi, India - Stealth AI Startup

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    Engineering / Architecture
    Description
    We're an AI Healthtech company in partnership with Microsoft Startups introducing custom AI to redefine global health equity. We're looking for a driven AI Engineer to join our team. The perfect fit will be well-versed in ML, NLP, and deep learning, with expertise in creating custom algorithms.

    Experience with machine translation projects and familiarity with NLP and MT techniques like NMT and transformer architecture is highly preferred.

    Key Responsibilities Collaborate with AI leads and the team to enhance current iterative builds for continuous model performance improvements. Fine-tune models and manage associated data pipelines throughout iterative phases. Oversee RLHF testing pipeline for error analysis and enhance accuracy, including evaluation using metrics such as BLEU and METEOR. Execute and assess systems for automated performance metrics to facilitate comparative analysis between models. Engage in research and development with AI leads on parallel builds for ongoing feature enhancements.


    Required Qualifications:

    • Proficiency in fine-tuning models for domain-specific use cases using machine learning frameworks like TensorFlow, PyTorch, and NLP techniques. Capability to develop data preprocessing pipelines to clean, normalize, and augment text data for both training and evaluation. Excellent collaboration and communication skills, as the candidate will assist in overseeing and mentoring junior engineers and interns. Strong problem-solving abilities and the capacity to thrive in a fast-paced, deadline-oriented startup environment.


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