Machine Learning Engineer

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.