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