Description

You will architect and implement generative AI solutions, including MLOps pipelines.

This role is on-site.

Responsibilities

• Implement machine learning solutions for structured data, NLP, and time series tasks.
• Apply LLM concepts including RAG, prompting, few-shot prompting, and SFT.
• Design and implement MLOps architectures and components.
• Develop models using Python and standard ML libraries.
• Manage version control and CI/CD workflows.

Required Skills

• 4+ years of experience in Machine Learning implementation.
• Proficiency in Python.
• Experience with Git, CI/CD, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP).
• Knowledge of DevOps practices.
• Experience with Machine Learning and Data Modelling.
• Understanding of NLP and Time Series Modelling.

Key Skills

Education

Any Gradute