Leading Large Language Model Engineer

2 days ago


Chennai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About our company

We enable safe transactions, productive work, and free travel by empowering the trusted identities of people, places, and things.

With over 4,500 worldwide employees, we are a leading software company that thrives on innovation and excellence.

Job Opportunity: Machine Learning Engineer Role

  • We design and implement machine learning pipelines and models, including large language model-based solutions to solve complex problems.
  • Our team translates prototypes and research into production-grade code and deployable components, ensuring seamless integration and deployment.
  • We develop and fine-tune foundation models and large language models for specific use cases, driving business growth and efficiency.
  • Our engineers train and optimize numeric machine-learning models to achieve optimal results.
  • We apply prompt engineering and build agent-based architectures for complex task automation, streamlining processes and enhancing productivity.
  • Our team integrates models into backend systems and supports real-time/batch inference services, ensuring robust and scalable infrastructure.
  • We work with guardrails and observability tools to ensure safe and robust use of generative AI, mitigating risks and ensuring compliance.
  • Our team stays up-to-date with advances in AI and emerging large language model ecosystems, leveraging cutting-edge technologies to drive innovation.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is required.
  • At least 3 years of experience building and deploying machine learning models in production environments is necessary.
  • Hands-on experience with large language model solution development and integration is essential.
  • A solid understanding of modern large language model tools and frameworks is crucial.
  • Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers is required.
  • A deep understanding of agent architectures, prompt engineering, and large language model guardrails is vital.
  • Experience with CI/CD practices, version control, testing, and model governance is necessary.
  • Comfortable working with cloud platforms and container technologies is essential.

What We Offer

  • A competitive salary and rewards package that recognizes individual contributions.
  • An attractive benefits and annual leave offering that promotes work-life balance.
  • A vibrant, welcoming, and inclusive culture that fosters collaboration and creativity.
  • Extensive career development opportunities and resources that support professional growth.


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