Junior Research Scientist

Description

This role offers an exciting opportunity to work on cutting-edge AI/ML and computer vision solutions from concept to deployment. As part of the AI engineering team, you will design and develop deep learning models, apply transfer learning techniques, and build robust pipelines for image processing and machine vision applications. You will work hands-on with Python and leading frameworks such as TensorFlow, PyTorch, and OpenCV to deliver scalable, production-ready solutions aligned with customer requirements.

• Apply transfer learning and develop deep learning models for real-world applications
• Design, develop, and deploy AI/ML/CV-based products aligned with customer requirements
• Stay updated on emerging AI/ML trends, tools, and frameworks

Requirements

• Understanding of numerical optimization, linear algebra, and advanced math concepts used in model tuning
• Proficient in Python and frameworks like TensorFlow, PyTorch, and OpenCV
• Experience with ROS (Robot Operating System) for perception-based applications
• Knowledge of classical machine learning methods for complementary tasks
• Computer Vision
• 0 to 4 years of relevant experience
• Knowledge of camera systems, optics, LiDAR, and data acquisition tuning
• Hands-on experience with image pre-processing, augmentation, and classical techniques
• BE, BTech, ME, MTech, M.Sc. (CS/IT/AIML and circuit branches with strong academic/project/work experience of AI/ML and computer vision)
• Exposure to cloud AI platforms (AWS Sagemaker, Azure ML, Google Vertex AI)
• Familiarity with MLOps practices such as model versioning, pipelines, and monitoring
• Understanding of embedded Linux or working with hardware accelerators
• Ability to work with large-scale datasets, annotation workflows, and dataset management tools
• Knowledge of ONNX, TensorRT, or model optimization techniques
• Machine Vision
• Solid foundation in algorithms, optimization, and mathematics
• Prior work on domain-specific AI applications such as defect detection, tracking, OCR, or anomaly detection
• Experience implementing real-time inference pipelines
• Academic or project experience in AI/ML-based development across varied domains
• Strong in system architecture and hardware integration in production environments
• Basic experience with DevOps tools (Docker, CI/CD) for model deployment
• Strong documentation skills and familiarity with version control workflows (Gitflow)
• Familiar with cloud/edge/GPU hardware and communication protocols
• Hands-on experience with camera calibration, stereo vision, depth estimation, or multi-sensor fusion
• Experience deploying AI/ML models on edge devices (NVIDIA Jetson, Coral TPU, etc.)

Benefits

You will also gain exposure to system-level integration involving camera systems, optics, LiDAR, data acquisition devices, and cloud/edge/GPU hardware environments. A strong foundation in algorithms, optimization, and mathematics will help you tackle complex real-world challenges while contributing to high-performance architectures. This role is ideal for early-career engineers who are passionate about AI/ML, eager to work on innovative projects across diverse domains, and committed to staying updated with emerging tools, frameworks, and industry trends.

Training + Development

Interview process

Visa Sponsorship

Security clearance