AIML Lead Developer

2 days ago

Nagpur, India smartData Enterprises Full time

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 preprocessing, 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:

  • 713 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.

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