Remote
Full-Time
India
Skills
Artificial Intelligence (AI)
Large Language Models (LLM)
Natural Language Processing (NLP)
Machine Learning
Data Science
Generative AI
About the Role
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.
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.