AI/ML Engineer [India Remote]

0 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Key responsibilities

  • Develop scalable infrastructure, including microservices and a backend with models for classification, regression, NLP, computer vision, or recommendation systems, depending on business needs.
  • Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges.
  • Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes.
  • Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc.
  • Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology.
  • Model deployment / model monitoring experience is desirable.
  • CI/CD pipeline creation is good to have.
  • B.Tech from Tier-1 college / M.S or M. Tech is preferred

 

Qualification:

 

  • Good communication skills
  • Highly self-directed with ability to meet deadlines, and understand and follow operating workflows
  • Responsible, reliable and proactively communicative 
  • Able to maintain sharp focus with repetitive tasks for long periods of time
  • Meticulous attention to detail - discrepancies and inconsistencies stand out to you and you seek resolutions
  • Flexible and adaptive to updated priorities and changing workflows; willing to support multiple parallel projects and accept reprioritization as necessary
  • Eager to learn; proactively asks questions to grasp the ‘why’ behind both processes and technical rules/requirements regarding data assignment, clean-up and movement


Nice to have :


  • Merchandise expertise in the categories of Fashion, Home and Beauty, specifically
  • A love for both the retail industry as well as emerging and modern technology
  • Prior experience with data labeling and annotation



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