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KPI Partners

Machine Learning Engineer

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  • Posted 2 days ago
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Job Description

We are seeking a skilled LLM Engineer with expertise in Langraph, LangChain, and Python to join our dynamic team. The ideal candidate will be responsible for developing and optimizing large language models that facilitate natural language understanding and generation capabilities for various applications. You will work on innovative projects that contribute to the advancement of our AI-driven products and solutions.

Job Title: LLM Engineer - Lang Graph, Lang Chain, Python

Location: Hybrid Hyderabad/Bangalore/Pune

Experience: 7+ years

Employment Type: Full-time

Key Responsibilities:

  • Develop, implement, and fine-tune large language models using Langraph and LangChain frameworks.
  • Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
  • Design and conduct experiments to evaluate model performance and propose enhancements.
  • Optimize existing models and workflows for improved efficiency and accuracy.
  • Stay updated with the latest advancements in natural language processing and machine learning technologies.
  • Document model architectures, methodologies, and best practices for knowledge sharing across the team.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience with large language models, specifically using Langraph and LangChain.
  • Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).
  • Strong understanding of natural language processing techniques and methodologies.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Why Join Us

  • Work on cutting-edge LLM and Generative AI solutions
  • Opportunity to contribute to impactful, real-world AI products
  • Collaborative and innovation-driven work environment
  • Competitive compensation and career growth opportunities

If you are interested, please apply by sending your resume to [Confidential Information]

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About Company

Job ID: 143783353