AI/ML Lead Developer

4 days ago

Nagpur, Maharashtra, India smartData Enterprises Inc. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary:

We are seeking a highly skilled and innovative
Python Lead Developer
with strong expertise in
Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, and Computer Vision
. The ideal candidate will lead AI-driven solution development, mentor team members, and collaborate with stakeholders to build scalable, intelligent, and high-performance applications.

Key Responsibilities:

  • Lead design, development, and deployment of AI/ML solutions leveraging
    LLMs, RAG pipelines, and generative AI frameworks
    .
  • Architect and implement end-to-end
    machine learning workflows
    , including data pre-processing, training, fine-tuning, evaluation, and deployment.
  • Build scalable applications using
    Python frameworks
    and integrate
    AI models into production systems
    .
  • Apply
    computer vision and deep learning
    techniques for image/video analytics, object detection, OCR, etc.
  • Optimize model performance, inference speed, and cost efficiency.
  • Stay updated with the latest advancements in
    NLP, LLMs, transformers, and multimodal AI
    .
  • Collaborate with cross-functional teams (Data Engineers, DevOps, Product Owners) for solution delivery.
  • Mentor and guide junior developers in
    AI/ML best practices and coding standards
    .

Required Skills & Experience:

  • 7–13 years
    of professional experience in software development with at least
    5+ years in Python
    .
  • Proven expertise in
    Generative AI, LLMs (OpenAI, Hugging Face, LangChain, etc.), and RAG frameworks
    .
  • Strong background in
    Machine Learning, Deep Learning, and Computer Vision (CNNs, YOLO, OpenCV, TensorFlow, PyTorch)
    .
  • Hands-on experience with
    NLP, embeddings, fine-tuning, and vector databases (Pinecone, FAISS, Weaviate, etc.)
    .
  • Familiarity with
    cloud platforms (AWS, Azure, GCP)
    and
    MLOps practices
    .
  • Solid understanding of
    software architecture, design patterns, and microservices
    .
  • Excellent problem-solving, analytical, and communication skills.

Good to Have:

  • Experience with
    multimodal AI (text, image, video, audio)
    .
  • Exposure to
    reinforcement learning (RLHF)
    .
  • Knowledge of
    Kubernetes/Docker
    for AI deployment.
  • Contribution to
    open-source AI/ML projects
    .

Please share your updated CV on or call on

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