Software Developer - Machine Learning / AI, Cloud & Computer Vision

Experience: Minimum 2 Years

ROLE OVERVIEW

We are looking for a versatile Software Developer who can work across computer vision/ML and cloud infrastructure - someone who can train and integrate computer vision models and deploy and manage the full ML system on the cloud. This is a cloud-first, AI-focused role, ideal for someone who enjoys end-to-end ownership across model development and infrastructure. Please note that this position requires full-time, in-office presence in Chennai; remote and hybrid arrangements are not available at this time.

• Build, train, and fine-tune computer vision models — object detection, classification, and embeddings (including YOLO-based pipelines)
• Work across the full CV pipeline — data collection, preprocessing, annotation workflows, model training, evaluation, and deployment
• Design and build inference APIs and services to serve CV/ML models in production
• Manage and optimize cloud infrastructure on AWS (compute, storage, and deployment services)
• Set up and maintain CI/CD pipelines and containerized deployments (Docker) for ML services
• Deploy and monitor CV models in production, optimizing for accuracy, performance, and inference latency
• Build and maintain data pipelines for model training and inference
• Work with edge deployment and optimization (e.g. Jetson, TensorRT) where applicable.
• Collaborate with the team on system design, code reviews, and documentation
• Write clean, maintainable, well-documented code

REQUIRED SKILLS

• Strong understanding of computer vision fundamentals — object detection, image classification, and experience with YOLO or similar frameworks
• Hands-on experience with AWS (EC2, S3, and general cloud deployment workflows) Proficiency in Python
• Familiarity with Docker and Linux environments
• Familiarity with Git/GitHub
• Strong teamwork and collaboration skills, with the ability to work closely across functions
• Leadership qualities, with the ability to take initiative and guide tasks or team members when needed
• Willingness to work full-time, on-site from our office
• Problem-solving mindset and willingness to work across ML and cloud infra

GOOD TO HAVE

• Experience with CV libraries beyond YOLO (OpenCV, detection/segmentation models)
• AWS certification (Cloud Practitioner / Solutions Architect Associate)
• Experience deploying ML-integrated applications to production
• Prior startup or fast-paced team experience
• Bonus: exposure to PLC control systems or embedded microcontroller programming (e.g. Arduino, ESP32, STM32)

Pay: ₹300,000.00 - ₹350,000.00 per year

Work Location: In person