Overview about Ripik.AI :

Ripik.ai is an Accel-backed Applied AI company building computer vision and process-optimization agents for the world's largest industrial enterprises across steel, cement, aluminum, chemicals, pharma, and power. Our Vision AI platform acts as an automated pair of eyes on the shop floor - monitoring materials, equipment, and processes 24/7 with 95%+ accuracy, delivering measurable gains in throughput, yield, energy efficiency, and safety.

The Role :

We are looking for a hands-on Data Science Manager to lead a team of 6-8 AI-Computer Vision engineers. This is a player-coach role : you will set technical direction, personally solve the hardest modelling problems, and grow a high-performing engineering team.

Technical Leadership & Hands-on Delivery :

- Own the end-to-end computer vision roadmap across Ripik's industrial portfolio.

- Architect solutions for complex vision challenges : extreme class imbalance, multi-camera fusion, and real-time inference on constrained edge hardware.

- Stay at the cutting edge of CV research (YOLO, SAM, Vision Transformers) and translate papers into production value.

- Define engineering standards for the vision stack : DVC, CVAT, W&B, TensorRT, and CI/CD.

- Drive inference optimisation to meet latency targets across NVIDIA Jetson and industrial PCs.

Team Building & People Growth :

- Lead, mentor, and grow a team of 6-8 Computer Vision engineers.

- Hire and onboard strong engineers through pairing and knowledge-sharing.

- Manage sprint planning, task prioritisation, and delivery timelines.

- Act as the primary technical interface between the CV team and cross-functional stakeholders.

Innovation & Problem Solving :

- Frame novel vision problems in industrial settings; design solutions combining classical image processing and deep learning.

- Champion a data-centric AI approach : active learning, synthetic data, and production feedback loops.

- Establish robust evaluation frameworks and A/B testing against production baselines.

Required Skills :

- Bachelor's or Master's degree in CS, AI/ML, or Electrical Engineering.

- 5-10 years of hands-on experience in computer vision with production deployment.

- Deep proficiency in Python, PyTorch, and OpenCV.

- Expertise in object detection, segmentation, anomaly detection, and tracking.

- Experience with model families : YOLO, RT-DETR, SAM, and CNN backbones.

- Production experience with TensorRT, ONNX, Docker, Kubernetes, and Cloud platforms.

- Experience in high-growth start-ups.

What Can You Expect? :

- A leadership seat at a high-growth, venture-backed AI start-up.

- Ability to shape the future of manufacturing leveraging best-in-class AI.

- World-class work culture and international exposure.