Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services.

You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Key Responsibilities :

- 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 analyse 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.

- 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.