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1 week ago
Growth and Innovation at Goml drives the next generation of machine learning platforms and services.
About the Role- We are looking for a skilled professional to develop and deploy training and deployment pipelines for machine learning models.
- The ideal candidate will have experience in implementing model compression algorithms and productionizing machine learning research.
- This role involves designing and developing generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains to meet business objectives.
- 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.
- Collaborate with cross-functional teams to facilitate the development and deployment of proof-of-concept Generative AI systems.
- A bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Minimum 3 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker, and Linux for managing servers.
- Knowledge of 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 as part of a team-oriented environment.
- Methodical and meticulous towards work and planning.
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