AI Innovator

15 hours ago

Jaipur, Rajasthan, India beBeeGenerativeAiEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
Machine Learning Engineer">

We are seeking a skilled Machine Learning Engineer to join our core team and contribute to the development of cutting-edge machine learning platforms and services.

About the Role:

The successful candidate will be responsible for designing, developing, and deploying training and deployment pipelines for machine learning models. This includes implementing model compression algorithms, productionizing machine learning research, and solving challenging business problems.

Key Responsibilities:

  • Design and Develop Generative AI Models: Utilize techniques like RAG, transformers, and other relevant approaches to design and develop generative AI models.
  • Fine-Tune Pre-Trained LLMs: Fine-tune pre-trained LLMs for specific tasks and domains.
  • Conduct Research: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
  • Apply Software Engineering Rigor: Apply software engineering rigor and best practices to machine learning/generative AI pipelines.
  • Evaluate and Analyze Model Performance: Evaluate and analyze the performance of ML/generative AI models.
  • Stay Up-to-Date: Stay up-to-date on the latest advancements in generative AI research.
  • Facilitate Proof-of-Concept Development: Facilitate the development and deployment of proof-of-concept Generative AI systems.

Requirements:

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

Benefits:

  • Competitive Salary: A competitive salary package that reflects your skills and experience.
  • Career Growth Opportunities: Opportunities for career growth and professional development in a dynamic and innovative company.
  • Collaborative Environment: A collaborative and supportive work environment that fosters creativity, innovation, and teamwork.

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