Senior Applied Research Engineer - AI/ML

Insight Global; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Insight Global is seeking an AI/ML Engineer for an innovative technology client focused on intelligent automation and robotics solutions. This role develops computer vision, anomaly detection, and robotic perception capabilities enabling autonomous decision-making in real-world environments.

The candidate will combine deep ML expertise with hands-on experience in vision systems, sensor data processing, and robotics integration to build scalable AI solutions that improve operational efficiency

Qualifications

• PhD with 10+ years of relevant experience OR Masters degree with 8–13 years of relevant experience in CS/Robotics/EE/CE or related field
• 3+ years of experience developing and deploying AI/ML solutions in production environments
• Strong experience with Computer Vision including object detection, image classification, segmentation, tracking, and scene understanding
• Expertise in Python and deep learning frameworks such as PyTorch, TensorFlow, or OpenCV
• Experience developing models for anomaly detection, predictive maintenance, defect detection, or quality inspection systems
• Experience working with robotics platforms, autonomous systems, industrial automation, or edge devices
• Knowledge of sensor fusion techniques utilizing cameras, LiDAR, radar, IMUs, or other sensor modalities
• Experience training, evaluating, and optimizing deep learning models for real-world performance
• Strong understanding of machine learning fundamentals, neural networks, and computer vision architectures
• Experience deploying AI solutions to edge, embedded, or cloud environments
• Nice to Have: ROS/ROS2, Generative AI, MLOps tools, NVIDIA Jetson, CUDA, TensorRT, GPU optimization

Responsibilities

• Design, develop, and deploy machine learning models focused on computer vision and intelligent automation
• Build anomaly detection solutions for defects, equipment failures, and operational abnormalities
• Develop perception algorithms for robotic systems utilizing cameras, LiDAR, and sensor data
• Train and optimize deep learning models for object detection, tracking, classification, and segmentation
• Collaborate with robotics, software, and hardware engineering teams to integrate AI capabilities into deployed systems
• Validate model accuracy, robustness, and performance in real-world production environments
• Improve existing AI pipelines through model optimization, experimentation, and performance tuning
• Implement data collection, labeling, and model monitoring processes
• Support deployment of models on edge devices and cloud-based infrastructure
• Research emerging technologies in AI, robotics, computer vision, and intelligent automation

Skills

AI/ML in prod

Computer Vision

Python

PyTorch

TensorFlow

OpenCV

Anomaly detection

Edge deployments

Model training

Object detection

Tracking

Segmentation

Sensor fusion

Robotics integration

MLOps

ROS/ROS2

CUDA/TensorRT

NVIDIA Jetson

Education

PhD with 10+ years of relevant experience in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or related field

Masters degree with 8–13 years of relevant experience in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or related field

Tools

ROS/ROS2

Generative AI

MLflow

Docker

Kubernetes

CI/CD

CUDA

TensorRT

NVIDIA Jetson

Job description

Required Skills & Experience

• PhD with 10+ years of relevant experience OR Masters degree with 813 years of relevant experience in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or related field


• 3+ years of experience developing and deploying AI/ML solutions in production environments


• Strong experience with Computer Vision including object detection, image classification, segmentation, tracking, and scene understanding


• Expertise in Python and deep learning frameworks such as PyTorch, TensorFlow, or OpenCV


• Experience developing models for anomaly detection, predictive maintenance, defect detection, or quality inspection systems


• Experience working with robotics platforms, autonomous systems, industrial automation, or edge devices


• Knowledge of sensor fusion techniques utilizing cameras, LiDAR, radar, IMUs, or other sensor modalities


• Experience training, evaluating, and optimizing deep learning models for real-world performance


• Strong understanding of machine learning fundamentals, neural networks, and computer vision architectures


• Experience deploying AI solutions to edge, embedded, or cloud environments

Nice to Have Skills & Experience

• Experience with ROS/ROS2 and robotic software development


• Experience with generative AI, vision-language models (VLMs), or multimodal AI systems


• Knowledge of MLOps tools including MLflow, Docker, Kubernetes, and CI/CD pipelines


• Experience with NVIDIA Jetson, CUDA, TensorRT, or GPU optimization


• Background in industrial inspection, manufacturing automation, warehouse robotics, or autonomous vehicles


• Experience with time-series anomaly detection and predictive analytics


• Familiarity with reinforcement learning, motion planning, or robotic controls


• Publications, patents, or open-source contributions in AI, robotics, or computer vision

Job Description

Insight Global is seeking an AI/ML Engineer for an innovative technology client focused on intelligent automation and next-generation robotics solutions. This individual will be responsible for developing advanced computer vision, anomaly detection, and robotic perception capabilities that enable autonomous decision-making in real-world environments. The ideal candidate will combine deep machine learning expertise with hands-on experience in vision systems, sensor data processing, and robotics integration to build scalable AI solutions that improve operational efficiency, reliability, and automation across complex systems.

Day-to-Day:

• Design, develop, and deploy machine learning models focused on computer vision and intelligent automation


• Build anomaly detection solutions for identifying defects, equipment failures, and operational abnormalities


• Develop perception algorithms for robotic systems utilizing cameras, LiDAR, and sensor data


• Train and optimize deep learning models for object detection, tracking, classification, and segmentation


• Collaborate with robotics, software, and hardware engineering teams to integrate AI capabilities into deployed systems


• Validate model accuracy, robustness, and performance in real-world production environmentsImprove existing AI pipelines through model optimization, experimentation, and performance tuning


• Implement data collection, labeling, and model monitoring processes


• Support deployment of models on edge devices and cloud-based infrastructure


• Research emerging technologies in AI, robotics, computer vision, and intelligent automation