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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Elite Corporate Solutions Private LimitedDelhi, IN
9 days ago
Job description

Job Description :

We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments.

Responsibilities :

As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows.

  • You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers.
  • Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control.
  • Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources.
  • Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments.
  • Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving.
  • Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows.
  • Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects.

Experience & Qualifications :

  • At least 3+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime.
  • Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc.
  • Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies.
  • Previous experience in leading ML teams, mentoring engineers, and managing project deliverables.
  • Comfortable working in an agile, startup-like environment where problem-solving and ownership are key.
  • Excellent communication skills to translate complex technical concepts into actionable project plans.
  • Good to Have :

  • Experience with vision-based automation in the manufacturing industry .
  • Exposure to Generative AI workflows.
  • Experience with Large Language Models (LLMs) and building multi-modal AI pipelines.
  • Understanding of AI governance, data compliance, and security protocols.
  • (ref : hirist.tech)

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