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Job Details
KANTAR is the world's leading insights, consulting, and analytics company. We understand how people think, feel, shop, share, vote, and view more than anybody else. With over 25,000 people, we combine the best of human understanding with advanced technologies to help the world's leading organizations, succeed and grow. (For more details, visit www.kantar.com)
The Global Data Science and Innovation (DSI) unit of KANTAR, nested within its Analytics Practice (https://www.kantar.com/expertise/analytics), is a fast-growing team of niche, elite data scientists responsible for all data science led innovation within KANTAR. The unit has a strong internal and external reputation with global stakeholders and clients, of handling sophisticated cutting-edge analytics, using state-of-the-art techniques and deep mathematical / statistical rigor. The unit is responsible for most AI and Gen AI related initiatives within KANTAR (https://www.kantar.com/campaigns/artificial-intelligence), including bringing in the latest developments in the field of Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, Optimization, etc. to solve complex business problems in marketing analytics and consulting and build products that empower our colleagues around the world.
Job profile
We are looking for an Senior 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. As a senior member of the team, you will be responsible for working with your leadership team 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. As an experienced AI engineer, you will hold yourself accountable for the entire process of developing, scaling, and commercializing these enterprise-grade products and solutions. You will be working hands-on as well as with a team of highly talented cross-functional, geography-agnostic team of data scientists and AI engineers.
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.
Job Description
Candidate will be responsible for the following:
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Develop and maintain scalable and efficient AI pipelines and infrastructure for deployment.
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Deploy AI models and solutions into production environments, ensuring stability and performance.
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Monitor and maintain deployed AI systems to ensure they operate effectively and efficiently.
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Troubleshoot and resolve issues related to AI deployment, including performance bottlenecks and system failures.
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Optimize deployment processes to reduce latency and improve the scalability of AI solutions.
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Implement robust version control and model management practices to track AI model changes and updates.
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Ensure the security and compliance of deployed AI systems with industry standards and regulations.
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Provide technical support and guidance for deployment-related queries and issues.
Qualification, Experience, and skills
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Advanced degree from top tier technical institutes in relevant discipline
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4 to 10 years’ experience, with at least past few years working in Generative AI
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Prior firsthand work experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using serverless architecture
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Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
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Prior experience with containerization tools (for ex., Docker, Kubernetes), databases (for ex., MySQL, MongoDB), deployment tools (for ex., Azure DevOps), big data tools (for ex.,Spark).
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Ability to develop and integrate APIs. Experience with RESTful services.
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Experience with continuous integration/continuous deployment (CI/CD) pipelines.
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Knowledge of Agile working methodologies for product development
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Knowledge of (and potentially working experience with) LLMs and Foundation models from OpenAI, Google, Anthropic and others
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Hands on coding experience in Python
Desired skills that would be a distinct advantage
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Preference given to past experience in developing/maintaining live deployments.
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Comfortable working in global set-ups with diverse cross-geography teams and cultures.
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Energetic, self-driven, curious, and entrepreneurial.
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Excellent (English) communication skills to address both technical audience and business stakeholders.
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Meticulous and deep attention to detail.
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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.
