Job Description
At goml, you will thrive in a dynamic environment and build a rewarding career by developing cutting-edge Machine Learning platform & services. Your key responsibilities include designing and developing generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Design and Develop Generative AI Models
- 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.
Required Skills and 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.Benefits
Our ideal candidate will be working on challenging projects that push the boundaries of what is possible with generative AI, alongside experienced engineers who are passionate about innovation and growth.
Others
As a Machine Learning Engineer , you will have the opportunity to work on cutting-edge projects, develop your skills and expertise, and make a meaningful impact in the field of artificial intelligence.