Machine Learning Engineer

1 day ago

Delhi, Delhi, India Elite Corporate Solutions Private Limited Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Description – Lead / Senior Machine Learning Engineer

We are looking for an experienced
Lead / Senior Machine Learning Engineer
who can take ownership of designing, developing, and deploying
Computer Vision solutions
in production environments. This is a leadership role where you will work on cutting-edge AI applications while guiding and mentoring a team of ML engineers.

Responsibilities

  • Design, develop, and deploy production-grade ML/Computer Vision projects such as
    object detection, defect detection, facial recognition, and human activity analysis
    .
  • Build and optimize robust data pipelines for image and video processing across edge and cloud environments.
  • Architect scalable real-time AI systems, ensuring high accuracy and low latency.
  • Lead and mentor a team of junior ML engineers, driving collaboration and high technical standards.
  • Stay updated with the latest research in AI/ML and integrate innovative models into existing workflows.
  • Communicate effectively with stakeholders, translating technical concepts into actionable solutions.

Qualifications

  • 5+ years of experience in Machine Learning, with proven expertise in
    Computer Vision
    projects deployed in production.
  • Strong proficiency in Python, and experience with deep learning frameworks (PyTorch, TensorFlow) and CV libraries (OpenCV).
  • Solid knowledge of
    MLOps workflows
    , data pipelines, and scalable deployment strategies.
  • Prior experience in leading ML teams and delivering projects end-to-end.
  • Excellent communication skills and ability to manage cross-functional collaboration.

Good to Have:

  • Experience with vision-based automation in manufacturing.
  • Exposure to Generative AI workflows and multi-modal AI pipelines.
  • Understanding of AI governance, compliance, and security protocols.

Why Join Us?

  • Opportunity to work on challenging AI problems that demand innovation.
  • Lead end-to-end AI projects with full ownership and visible impact.
  • Be part of a flexible, collaborative, and high-performing team culture with room for growth.

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