Director- AIML

12 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are hiring for Director- AIML in Andheri, Mumbai.

Here are the skills required -

  • You’re a hands-on AI engineer or data scientist with 12-16 years of experience driving impactful AI initiatives in production settings.
  • You’re passionate about solving complex problems, building systems that scale, and keeping abreast of the latest AI developments.
  • Must-Haves Proven experience framing and solving complex problems with AI models, specifically in computer vision or NLP, and GenAI deploying these at scale. Hands-on experience with LLMs, with expertise in fine-tuning, retrieval-augmented generation (RAG), and model selection.
  • You should have worked on at least two production use cases in this domain. You should know what models / approaches to choose based on the use-cases and their solutions.
  • You understand that model building is only a fraction of production AI work and you know what it takes to maintain high-performance AI systems. 6+ years building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale
  • An insatiable curiosity and passion for state-of-the-art research, combined with the drive to apply innovative approaches to real-world problems.
  • Expertise in Python and knowledge of its standard libraries Strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency.
  • Experience mentoring and guiding junior engineers, sharing your expertise to uplift team knowledge.
  • Capability to interact with a variety of stakeholders including senior leadership and customers from the most demanding industries Some familiarity with AI Ops and associated tooling to streamline AI processes.
  • Cloud experience with AWS/GCP/Azure
  • Good-to-Haves
  • Experience with other languages Familiarity with Docker and Kubernetes for efficient service deployment.
  • Experience with a variety of platforms, frameworks, and tools in the AI and machine learning ecosystem.
  • Publications and patents in the AI domain

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