Senior Generative AI Engineer

6 days ago

Bharatpur, Rajasthan, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

You will thrive in a dynamic culture, building a rewarding career as part of our young and ambitious team.

About the Opportunity

We are developing the next generation of Machine Learning platform & services. You will create training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Key Responsibilities:
  • Generative AI Development: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
  • Model Fine-tuning: Fine-tune pre-trained LLMs for specific tasks and domains.
  • Research and Innovation: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
  • Pipeline Engineering: Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
  • Performance Evaluation: Evaluate and analyze the performance of ML/generative AI models.
  • Staying Up-to-date: Stay up to date on the latest advancements in generative AI research.
  • System Deployment: Facilitate the development and deployment of proof-of-concept Generative AI systems.

Requirements:

  • Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in generative AI or related fields.
  • Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
  • Strong programming skills in Python.
  • Familiarity with RAG and other techniques for building generative models.
  • Extensive experience with Git, Docker, and a good understanding of Linux for managing servers.
  • Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
  • Exposure to ML/GenAI frameworks and tools.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team-oriented environment.
  • Methodical and meticulous towards work and planning.

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