Description

You will design, train, and deploy machine learning models and large-scale data pipelines, with a focus on NLP and Llama architectures.

This role is hybrid.

Responsibilities

• Implement and optimize NLP and Llama model architectures for production use.
• Build and maintain automated end-to-end ML pipelines for training, deployment, and updates.
• Develop scalable machine learning solutions and large-scale data pipelines for training and inference.
• Identify, train, and evaluate ML models to meet specific business requirements.
• Apply statistical modeling and data science techniques to solve complex problems.

Required Skills

• 3-8 years of experience implementing and fine-tuning NLP models, specifically Llama.
• Hands-on expertise in AI, ML, and Generative AI (GenAI) solution development.
• Proficiency in Python programming for data science and machine learning.
• Experience building and maintaining end-to-end ML pipelines in production environments.
• Strong background in Data Engineering and large-scale data pipeline design.
• Competency in statistical modeling and data science methodologies.
• Proven ability to automate model deployment and updating processes.
• Degree in B.Tech, M.Tech, BCA, B.E., or B.Sc.

Key Skills

Education

Any Graduate