Senior Machine Learning Engineer

goML; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm in India is seeking a Talent Acquisition specialist to design and develop generative AI models. The ideal candidate will have a strong background in Python and 5+ years of experience in generative AI. This full-time role offers the chance to work with a dynamic team focused on shaping the future of AI technology.

Qualifications

• 5+ years of experience in generative AI or related fields.
• Experience in building data pipelines and deploying ML/GenAI models.
• Familiarity with techniques for building generative models.

Responsibilities

• Design and develop generative AI models using techniques like RAG, transformers.
• Fine-tune pre-trained LLMs for specific tasks and domains.
• Stay updated on advancements in generative AI research.

Skills

Programming in Python

Git

Docker

Linux

Collaboration

Communication

Education

Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence

Tools

AWS ML/GenAI services

Job description

Talent Acquisition specialist @ goML | Hiring top tech & AI/ML talent | Building teams shaping the future of Generative AI.

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.
• 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.

Seniority level

Associate

Employment type

Full-time

Industries

Technology, Information and Internet

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