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Senior AI Engineering Lead

3 weeks ago


Mumbai, Maharashtra, India beBeeMachineLearning Full time

Job Title:

Main Responsibilities of AI Engineering Lead

As a seasoned Machine Learning Engineer, you will spearhead the conception, development, and implementation of sophisticated ML models and systems. You will collaborate closely with cross-functional teams to build solutions focused on financial markets.

  • Integrate ML solutions into products by collaborating with engineering and product teams.
  • Pursue innovation by researching and applying the latest ML techniques and technologies.
  • Lead the development of end-to-end ML workflows, focusing on LLM-based architectures and applications.
  • Fine-tune and optimize open-source and proprietary LLMs for real-world use cases.
  • Apply techniques like retrieval-augmented generation (RAG), prompt engineering, and model compression to enhance performance and efficiency.
  • Work with product and engineering teams to integrate LLMs into customer-facing applications.
  • Guide data collection, training pipeline setup, and deployment infrastructure.
  • Stay current with advances in the LLM and generative AI space and assess their relevance to our work.

Requirements:

  • Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, etc.), and cloud platforms (AWS/GCP/Azure).
  • Strong ML/NLP background with a proven track record in developing and shipping LLM-powered products.
  • Deep familiarity with tools like Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks.
  • Solid understanding of model evaluation, performance tuning, and responsible AI principles.
  • Comfortable working in fast-paced, cross-functional environments.
  • Knowledge and exposure to financial markets will be a huge plus.

Why This Role?

This is an exceptional opportunity to drive the development of cutting-edge ML solutions and shape the future of financial markets.