Senior ML Engineer

Role Name : Senior Machine Learning Engineer

Experience : 3-6 years

Department : Data Science

Role :

As a Senior ML Engineer and Team Lead, you will be the driving technical and operational force behind our vision-based analytics pipelines. You will operate as a "player-coach", balancing hands-on model development and edge deployment with the management of a small team of ML engineers. You will design state-of-the-art computer vision modelsranging from classic image processing to modern transformer architecturesand ensure they run efficiently on edge devices (NVIDIA Jetson) using modern MLOps and CI/CD practices.

Key Responsibilities :

- Team Leadership &
- Management : Manage and mentor a small team of ML engineers. Guide their technical development, oversee task delegation, conduct 1-on-1s, and foster a culture of engineering excellence and collaboration.
- Technical Roadmapping : Work closely with product and engineering leadership to define ML project scopes, timelines, and technical architecture.
- Model Development : Design, train, and evaluate Computer Vision models for object detection, image classification, segmentation, and Optical Character Recognition (OCR).
- Algorithm Selection : Apply the right tool for the job, balancing classic CV algorithms, standard Deep Learning approaches (CNNs, YOLO, etc.), and state-of-the-art Vision Transformers (ViT, DETR).
- Edge Optimization &
- Deployment : Optimize models for real-time inference on edge devices (NVIDIA Jetson) using frameworks like TensorRT, ONNX, or DeepStream.
- MLOps &
- Infrastructure : Architect and maintain end-to-end MLOps pipelines. Containerize applications using Docker and automate workflows using CI/CD pipelines.
- Production Monitoring :



Implement telemetry and monitoring solutions to track model drift, hardware health, and inference performance on distributed edge devices in the field.
- Code Quality : Write clean, production-ready, and highly optimized Python code, and enforce these standards across your team through code reviews.

Required Qualifications :

- Experience : 3 years of industry experience in Machine Learning, with a heavy focus on Computer Vision in production environments.
- Leadership : 1 years of experience leading, managing, or formally mentoring an engineering or data science team.
- Programming : Robust proficiency in Python and its scientific computing ecosystem (NumPy, SciPy, Pandas).
- Computer Vision Expertise :
- Solid grasp of classic CV techniques (OpenCV).
- Deep understanding of DL architectures for detection and classification (PyTorch or TensorFlow).
- Hands-on experience with OCR systems (e.g., Tesseract, EasyOCR, PaddleOCR).
- Working knowledge of Transformer-based vision models.
- Edge Deployment : Proven track record of deploying models to edge hardware, specifically NVIDIA Jetson architecture.

Experience with model quantization, pruning, and optimization (TensorRT, ONNX Runtime).

- MLOps &
- DevOps : Hands-on experience with Docker and building automated CI/CD pipelines (GitHub Actions, GitLab CI, or similar).
- Monitoring : Experience setting up monitoring, logging, and remote management for edge deployments.

Preferred (Nice-to-Have) Skills :

- Proficiency in C for high-performance edge inference.
- Experience with NVIDIA DeepStream SDK.
- Agile/Scrum project management experience.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and IoT device management.
- Experience with ML lifecycle tools like MLflow, Weights &
- Biases, or Kubeflow.

📌 Senior Machine Learning Engineer - Computer Vision (India)
🏢 KS Smart Solutions
📍 India