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Senior AI Engineer

8 - 12 years

Bengaluru

Posted:5 days ago

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Job Description

Job Summary

Senior AI Engineer

Job Requirements

What You'll Do

  • Design, build, and deploy AI/ML solutions to production at cloud scale.Architect backend services, data pipelines, and REST APIs that power AI features.
  • Own the full lifecycle: design, development, testing, deployment, and monitoring.
  • Mentor engineers and collaborate with cross-functional stakeholders.
  • Drive bug fixes, RCAs, and automation; keep pace with the latest in AI and cloud-native tech.Uphold data privacy, security, and ethical AI standards.

 

Must-Haves

  • 8 years

     building production software, with a strong AI/ML track record.
  • Proficiency in

    Python

     and one of 

    Java, Go, C, or C++

    .
  • Hands-on with

    TensorFlow, PyTorch, or scikit-learn

    .Strong fundamentals: data structures, algorithms, system design, REST APIs, Linux.
  • Experience with

    AWS/Azure/GCP

     and 

    Docker/Kubernetes

    .Solid grasp of statistics, data mining, and visualization.
  • Excellent problem-solving and communication skills.

 

Nice-to-Haves

  • Led AI projects from concept to production.Experience with

    data protection / backup & restore

    , 

    filesystems

    , or 

    distributed systems

    .
  • Deep cloud infra knowledge (storage, databases, caching, networking, load balancers).Git and agile workflows; publications or open-source contributions.
Education

IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.

Skills Required

Golang Tensorflow Data Mining Cloud Infra Scikit-Learn Rest Docker

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Work Mode

Work from Office

Job Type

Full Time

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