Senior AI Engineer

Kantar
Chennai
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-10 yearsEducation: mastersSkills: ["Python","Azure","AWS","Google Cloud","Docker","Kubernetes","MySQL","MongoDB","Spark","REST","CI/CD","Agile","LLMs","OpenAI"]

Senior AI Engineer responsible for building and deploying scalable AI pipelines and productionizing AI/ML solutions within a fast-paced, global data science team. You’ll work on Generative AI, cloud deployments, model management, and cross-functional collaboration to deliver enterprise-grade AI products from R&D PoCs to production.

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FursaFursa
Kantar
Kantar
7 months ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 26 days agoStatus: Live

Job Summary

Senior AI Engineer responsible for building and deploying scalable AI pipelines and productionizing AI/ML solutions within a fast-paced, global data science team. You’ll work on Generative AI, cloud deployments, model management, and cross-functional collaboration to deliver enterprise-grade AI products from R&D PoCs to production.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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.

Key Requirements

  • •Advanced degree from top tier technical institutes in relevant discipline
  • •4 to 10 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 serverless architecture
  • •Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
  • •Hands on coding experience in Python
Experience:4-10 yearsAIGen AIData Science
Education:Master's
Skills:PythonAzureAWSGoogle CloudDockerKubernetesMySQLMongoDBSparkRESTCI/CDAgileLLMsOpenAI
Languages:English
Tech Stack:PythonAzureAWSGoogle CloudDockerKubernetesMySQLMongoDBSparkRESTCI/CDOpenAI

Company Brief

Kantar
Global data, insights and consulting company providing market research, analytics, and strategic advisory services to help brands, media companies and organizations understand consumer behavior and drive business growth.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 1993
Glassdoor
Glassdoor: 3.6
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