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  • Senior AI/ML Engineer - Sahibzada Ajit Singh Nagar - Visilant

    Visilant
    Visilant Sahibzada Ajit Singh Nagar

    3 weeks ago

    Description

    About the Role

    We are hiring an AI/ML Engineer to design, develop, and deploy multimodal AI models for eye disease screening using image and tabular/textual data.

    You will collaborate closely with AI researchers, engineers, and product teams to build and translate cutting-edge models. This is an opportunity to work at the frontier of clinical AI with purpose-driven colleagues and powerful social impact.

    Responsibilities:

    • Design and implement multimodal deep learning models combining image encoders and language models.
    • Train, fine-tune, and optimize models using annotated eye images and structured clinical data.
    • Implement instruction-tuned outputs for diagnosis, referral decisions, and patient counseling in English, Hindi, and Tamil.
    • Optimize inference performance using quantization, pruning, and model distillation for deployment on smartphones or edge devices.
    • Work with mobile and backend engineers to integrate models with our telemedicine app and cloud-based infrastructure.
    • Contribute to model evaluation across clinical sites using real-world patient data to measure accuracy, bias, and latency.
    • Support development of responsible AI pipelines: privacy, bias mitigation, versioning, and drift detection.

    Qualifications

    Must-Have:

    • Bachelor's or Master's degree in Computer Science, AI, Biomedical Engineering, or related field.
    • 4+ years of experience with deep learning framework (Master's degree can substitute for experience).
    • Hands-on experience training or fine-tuning transformer models (e.g., LLaMA, T5, GPT).
    • Hands-on experience working with vision models (CNNs, ViTs)
    • Fluency with version control (Git), collaborative workflows, and cloud-based development.
    • Passion for using AI in global health or social impact domains.

    Preferred:

    • Experience with multimodal fusion techniques (cross-attention, late fusion, MLP).
    • Experience implementing or optimizing Retrieval-Augmented Generation (RAG) pipelines for domain-specific applications (e.g., medical QA, knowledge-grounded generation).
    • Experience working with multilingual NLP/NLG (especially Hindi and Tamil).
    • Prior work with model optimization for edge deployment using ONNX, Core ML, TensorFlow Lite, or quantized PyTorch models, or knowledge of hybrid cloud/on-device design.
    • Proven ability to mentor junior engineers and foster a culture of technical growth and collaboration.
    • Strong written and verbal communication skills with cross-functional stakeholders (e.g., product, clinical, design)

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Senior ai/ml engineer