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Mastering Machine Learning

3 weeks ago


Thoothukudi, Tamil Nadu, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI/ML Engineer

As a highly skilled AI/ML Engineer, you will play a pivotal role in developing cutting-edge software that revolutionizes the way teams and enterprises work. This position is ideal for those passionate about leveraging machine learning to create innovative solutions.

Key Responsibilities:

  • Develop high-performance AI-enabled products that fully utilize the capabilities of Large Language Models (LLMs) and other recent developments in foundation models.
  • Design and implement efficient Search and Retrieval-Augmented Generation (RAG) systems: data indexing, ranking, query processing.
  • Build evaluation frameworks for agent, RAG, and LLM performance: we take a polyglot approach to working with LLMs with a strong preference for getting workloads working on open-source models.

Qualifications:

  • 2-5 years of experience in Software Engineering or end-to-end Data Science. Proficient in Python and data-oriented algorithms.
  • Strong background in either distributed data systems or machine learning engineering. Experience with distributed computing frameworks like Ray is a plus.
  • Proven ability to experiment with new techniques and deliver robust production code. We work mostly in Python, with emerging technologies including LlamaIndex and LangChain in our RAG stack, as well as Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm.
  • Recent demonstrated experience in building agents, training and evaluating emerging foundation LLMs, building RAG systems, and planet-scale information retrieval systems, or working with vector databases.

Our Team:

We are a pre-seed startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and shipping high-quality code.