Artificial Intelligence Research Engineer

6 days ago

Kottayam, Kerala, India beBeeResearch Full time ₹ 15,000 - ₹ 25,000

The ability to understand and mitigate the risks associated with supply chain disruptions is critical for ensuring global security and stability. Our vision is to empower businesses with the tools they need to navigate these challenges effectively.

We're committed to driving innovation in this area, leveraging integrated data to proactively manage risks and ensure continued access to essential goods.

Social impact is at the forefront of our mission. We believe that private sector innovation holds the key to addressing social problems at scale. By achieving our objectives, we can ensure that humanity always has access to its essential needs.

Culture:

  • Merit-Based Decision Making: The best ideas win. We value constructive debate and encourage open discussion to arrive at the best solutions.
  • Ownership and Accountability: We think as owners who drive the bus, not as passengers. Everyone is a leader, and we take ownership of our work.
  • Problem-Solving: We trust our ability to figure things out and don't wait for instructions. We connect the dots and answer difficult questions with logic.
  • Customer-Centric Approach: Our customers are our heroes, and we're obsessed with helping them resolve their biggest headaches and advance their competitiveness.
  • Personal Growth and Development: We take personal responsibility for becoming smarter, wiser, and happier. We're obsessed with learning about our industry and improving our skills.

Job Description:

As a member of our Research team, you'll be responsible for researching, developing, and coding Agents using state-of-the-art LLMs with automated pipelines.

  • Write code for the development of our ML engines and micro-services pipelines.
  • Use, optimize, train, and evaluate state-of-the-art GPT models.
  • Research and develop Agentic pipelines using LLMs.
  • Research and develop RAG-based pipeline using vector DBs.

Required Skills and Qualifications:

  • Prompt engineering and Agentic LLM frameworks like langchain/llama index.
  • Good understanding of vectors/tensors and RAG pipelines.
  • Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
  • In-depth knowledge of DSA, async, Python, and containers.
  • Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

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