AI Engineer

Posted 5 Days Ago
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Teynampet, Chennai, Tamil Nadu
3-5 Years Experience
Marketing Tech • Analytics
The Role
AI Engineer responsible for developing and maintaining scalable AI pipelines, deploying AI models, monitoring system performance, troubleshooting issues, and ensuring security and compliance. Requires 2-6 years of experience, proficiency in Generative AI, cloud platforms, containerization, databases, and API integration. Familiarity with CI/CD pipelines and Agile methodologies. Hands-on coding experience in Python.
Summary Generated by Built In

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply...

Job Details

Job profile summary

We are looking for an AI Engineer to be part of our Global Data Science and Innovation team.

As part of a high-profile team, the position offers a unique opportunity to work first-hand on some of the most exciting, and challenging AI-led projects within the organization, and be part of a fast-paced, entrepreneurial environment. In your role as an AI engineer, you will be responsible for working with your colleagues and managers to build a world-class portfolio of AI-led solutions within KANTAR leveraging the latest developments in AI/ML.

You will be part of several initiatives to productionize multiple R&D PoCs and pilots that leverage a variety of AI/ML algorithms and technologies, particularly using (but not restricted to) Generative AI. You will work in different aspects of developing, scaling, and commercializing enterprise-grade data science products and solutions. You will work hands-on as well as with a highly talented cross-functional, geography-agnostic team of data scientists. You need to be flexible, work well in teams, own your work, and be a good collaborator.

As part of the global data science and innovation team, you will be a representative and ambassador for data science/AI/ML led solutions with internal and external stakeholders.

Detailed Job Description

Candidate will be responsible for the following:

  • 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.

Qualification, Experience, and Skills

Must-haves

  • Degree from top tier technical institutes in relevant discipline
  • 2 to 6 years’ experience, with at least past few years working in Generative AI
  • Prior firsthand work experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server less architecture
  • Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
  • Prior experience with containerization tools (for ex., Docker, Kubernetes), databases (for ex., MySQL, MongoDB), deployment tools (for ex., Azure DevOps)
  • Ability to develop and integrate APIs. Experience with RESTful services.
  • Familiarity 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

Desired skills that would be a distinct advantage

  • Preference given to past experience in developing/maintaining live deployments.
  • Familiarity with big data tools (for ex., Spark)
  • Comfortable working in global set-ups with diverse cross-geography teams and cultures.
  • Energetic, self-driven, curious, and entrepreneurial.
  • Excellent (English) communication skills to address both technical audience and business stakeholders.
  • Meticulous and deep attention to detail.
  • Being able to straddle ‘big picture’ and ‘details’ with ease

Location

Chennai, Teynampet, Anna SalaiIndia

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 

 

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. 

 

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. 

 

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. 

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Top Skills

Python
The Company
HQ: London
34,629 Employees
On-site Workplace

What We Do

Kantar is the world’s leading marketing data and analytics company. . We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.

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