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Xenon Seven

Senior AI/ML Engineer-Remote

Reposted 7 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Hyderabad, Telangana, IND
Senior level
In-Office or Remote
Hiring Remotely in Hyderabad, Telangana, IND
Senior level
The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.
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About us:

Where elite tech talent meets world-class opportunities!

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems.


Requirements

Senior AI/ML Engineer (6–10 years)

Location Hyderabad Remote

Experience Level: Senior, 6–10 years

Core Skills:

  • Strong programming: Python, NumPy/Pandas, SQL
  • ML/DL frameworks: scikit-learn, PyTorch, TensorFlow
  • MLOps: Docker, CI/CD pipelines
  • Cloud platforms: AWS, Azure
  • AI application essentials: RAG with embeddings/vector databases, model serving/APIs, NLP/Transformers, evaluation/monitoring, responsible AI

Responsibilities:

  • Lead in building enterprise agentic AI solutions end-to-end
  • Own solution architecture, estimation, and delivery planning
  • Act as a senior consultant in Agile/SCRUM projects, ensuring alignment with client needs
  • Guide and mentor junior/mid-level engineers, ensuring enterprise-grade delivery
  • Drive client communication, technical validation, and stakeholder confidence
  • Ensure responsible AI practices, monitoring, and compliance

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