Senior AI Engineer

Kantar Group Limited; Chennai District; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Kantar Group Limited is seeking a Senior AI Engineer to join their Global Data Science and Innovation team in Chennai. The ideal candidate will develop scalable AI pipelines and deploy models ensuring efficiency.

The role demands significant experience in Generative AI with skills in cloud platforms like Azure and AWS. This collaborative position promises a dynamic environment with opportunities for creative problem-solving.

Qualifications

• 4 to 10 years of experience in AI, with at least a few years in Generative AI.
• Experience in building and deploying applications on cloud platforms.
• Hands-on coding experience in Python.

Responsibilities

• Develop and maintain scalable AI pipelines.
• Deploy AI models into production environments.
• Monitor and maintain deployed AI systems.

Skills

Generative AI

Azure Machine Learning service

Amazon SageMaker

Docker

Kubernetes

RESTful services

Python

Education

Advanced degree from a top tier technical institute

Tools

Azure DevOps

Spark

MySQL

MongoDB

Job description

We are looking for a Senior AI Engineer to be part of our Global Data Science and Innovation team at Kantar.

Responsibilities

• Develop and maintain scalable and efficient AI pipelines and infrastructure for deployment.
• Deploy AI models and solutions into production environments, ensuring stability and performance.
• Monitor and maintain deployed AI systems to ensure they operate effectively and efficiently.
• Troubleshoot and resolve issues related to AI deployment, including performance bottlenecks and system failures.
• Optimize deployment processes to reduce latency and improve the scalability of AI solutions.
• Implement robust version control and model management practices to track AI model changes and updates.
• Ensure the security and compliance of deployed AI systems with industry standards and regulations.
• Provide technical support and guidance for deployment‑related queries and issues.

Qualifications, Experience and Skills

• Advanced degree from a top tier technical institute in a relevant discipline.
• 4 to 10 years of experience, with at least a few years working in Generative AI.
• Prior firsthand work experience in building and deploying applications on cloud platforms such as Azure, AWS, or Google Cloud using serverless architecture.
• Proficiency in tools such as Azure Machine Learning service, Amazon SageMaker, or Google Cloud AI.
• Experience with containerization tools (e.g., Docker, Kubernetes), databases (e.g., MySQL, MongoDB), deployment tools (e.g., Azure DevOps), and big data tools (e.g., Spark).
• Ability to develop and integrate APIs and experience with RESTful services.
• Experience with continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of Agile working methodologies for product development.
• Knowledge of (and potentially working experience with) LLMs and foundation models from OpenAI, Google, Anthropic, and others.
• Hands‑on coding experience in Python.

Preferred or Advantageous Qualifications

• Preference given to past experience in developing or maintaining live deployments.
• Comfortable working in global set‑ups with diverse cross‑geography teams and cultures.
• Energetic, self‑driven, curious, and entrepreneurial attitude.
• Excellent English communication skills to address both technical audiences and business stakeholders.
• Meticulous attention to detail and ability to straddle ‘big picture’ and ‘details’ with ease.

Location

Chennai, Teynampet, Anna Salai, India.