Machine Learning Engineer

Job Title:

About Satsafeti

Satsafeti EYE

Role Overview

ML Ops Engineers

Key Responsibilities

• Deploy and monitor computer vision models on edge IoT devices in industrial environments
  
• Collaborate with AI research and product engineering teams to integrate models into production
  
• Build scalable ML pipelines for continuous training, testing, and inference
  
• Optimize models for low-latency, real-time inference on embedded systems
  
• Manage version control, deployment automation, and performance tuning
  
• Support client deployments and troubleshoot model performance issues on the ground
  

Required Skills & Qualifications

• B.E./B.Tech/M.Tech in Computer Science, Electronics, AI, or a related field
  
• Strong foundation in Machine Learning and Computer Vision
  
• Experience with deep learning frameworks such as PyTorch or TensorFlow
  
• Familiarity with OpenCV and vision-based data processing pipelines
  
• Understanding of containerization (Docker) and deployment on edge hardware
  
• Good problem-solving skills and ability to work in cross-functional teams
  
• Willingness to learn and adapt in a fast-paced startup environment
  

Preferred Qualifications

• Prior experience in deploying Vision AI models in real-world scenarios
  
• Exposure to NVIDIA Jetson, Coral TPU, or similar edge computing platforms
  
• Experience with CI/CD tools and ML lifecycle management (MLflow, DVC, etc.)
  

Why Join Us?

• Be a part of an impactful product that is reshaping industrial safety and efficiency in India
  
• Work with cutting-edge technologies at the intersection of IoT, AI, and embedded systems
  
• Accelerated learning, hands-on exposure, and opportunities to grow with the company