Senior AI Developer

2 days ago

Agra, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 25,00,000
Artificial Intelligence Specialist

We are seeking an experienced Artificial Intelligence Specialist to join our core team. As a key member of our AI development group, you will design and develop generative AI models using various techniques, fine-tune pre-trained large language models for specific tasks, and conduct research on new techniques to improve the performance and capabilities of generative AI models.

About the Role:

  • Key Responsibilities:
  • Create data pipelines and deploy ML/GenAI models in production, monitoring and maintaining their performance.
  • Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
  • Fine-tune pre-trained LLMs for specific tasks and domains.
  • Conduct research on new techniques for improving the performance and capabilities of generative AI models.
  • Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
  • Evaluate and analyze the performance of ML/generative AI models.
  • Stay up to date on the latest advancements in generative AI research.
  • Facilitate the development and deployment of proof-of-concept Generative AI systems.

Qualifications:

  • Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 3-5 years of experience in generative AI or related fields.
  • 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.

Bonus Points:

  • Prior experience working on data pipelines.
  • Familiarity with Agile methodologies.

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