AI Generative Model Developer

2 months ago


India goML Full time

goML is seeking a highly skilled Machine Learning Engineer to join our core team. As a key member of our organization, you will play a crucial role in developing and deploying cutting-edge Machine Learning platforms and services.

The ideal candidate will have a strong background in generative AI and experience with designing and developing AI models using techniques like RAG, transformers, and other relevant approaches. They will also be responsible for fine-tuning pre-trained LLMs for specific tasks and domains, conducting research on new techniques for improving the performance and capabilities of generative AI models, and applying software engineering rigor and best practices to machine learning /Generative AI pipelines.

In this role, you will work closely with our team to evaluate and analyze the performance of ML/generative AI models, stay up-to-date on the latest advancements in generative AI research, and facilitate the development and deployment of proof-of-concept Generative AI systems.

We are looking for a motivated and detail-oriented individual who excels in collaboration and communication. A Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field is required, as well as 3-5 years of experience in generative AI or related fields.

A strong programming skills in Python, familiarity with RAG and other techniques for building generative models, and extensive experience with Git, Docker, and Linux for managing servers are essential. Experience with cloud-based ecosystems, especially AWS ML/GenAI services, and exposure to ML/GenAI frameworks and tools are highly desirable.

This is an excellent opportunity to grow your career and contribute to the development of innovative Machine Learning solutions. If you are passionate about AI and possess the necessary skills and qualifications, we encourage you to apply.

Estimated Salary: $120,000 - $180,000 per year (dependent on location and experience)



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