LLMOps + MLOps - Senior Associate

Overview

As an LLMOps + MLOps Senior Associate, you will support the design, deployment, monitoring, and upkeep of AI solutions that turn data into actionable insights and help teams address complex business questions. You will support client work across AI-driven automation and cognitive solutions within the Data and Analytics Engineering practice.

What you'll do

• Develop and deploy LLMOps and MLOps workflows that support model training, testing, deployment, and monitoring across client solutions.
• Translate advanced data science and machine learning requirements into scalable automation, orchestration, and lifecycle management approaches.
• Apply statistical analysis, predictive modeling, and data engineering techniques to improve model performance and operational reliability.
• Support client engagements by gathering technical requirements, interpreting feedback, and shaping practical implementation plans.
• Build data pipelines and data quality controls that support machine learning use cases and AI-enabled solutions.
• Evaluate model behavior, retraining needs, and drift signals by using monitoring tools and analytical methods.
• Document technical decisions, solution design, and deployment steps to support transparency and reuse across project workstreams.
• Mentor junior team members on machine learning workflows, AI tooling, and delivery methods while contributing to team development.
• Build meaningful client connections, manage assigned workstreams, and navigate ambiguity while deepening technical skills and business context.
• Apply data science methods, statistical modeling, visualization, and professional judgment to support client work across AI-driven automation and cognitive solutions.

What you'll need

• At least a Bachelor's degree.
• At least 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, or Systems Engineering.
• Demonstrating LLMOps and MLOps delivery across client engagements.
• Utilizing AI tooling, data pipelines, and model monitoring.
• Interpreting data to guide recommendations and delivery priorities.
• Building client connections while navigating ambiguity and change.
• Mentoring junior team members through complex technical work.

Details

• Location: Bangalore (SDC) - Bagmane Tech Park.
• Management level: Senior Associate.