AI / ML Lead

2 weeks ago

Bengaluru, Karnataka, India i exceed Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job responsibilities

  • Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
  • Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques.
  • Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques.
  • Conduct experiments using the latest machine learning technologies, analyze results, and tune models.
  • Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
  • Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions.
  • Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes

Required qualifications, capabilities, and skills

  • Formal training or certification on AI/ML concepts and 5+ years applied experience
  • Hans on experience in programming languages, particularly Python.
  • Manage to apply data science and machine learning techniques to address business challenges.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search).
  • Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through.
  • Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners

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