AI/ML Engineer

Night shift starting 9.30 pm ist

Responsibilities
● Develop, train, and optimize AI/ML models that enhance Flippy’s perception,decision-making, and real-time operational performance.● Conduct experiments and research to improve model accuracy, robustness, and generalization across diverse kitchen environments.● Collaborate with software, hardware, and robotics engineers to integrate AI models into the robotic stack, ensuring seamless on-device performance.● Build and maintain data pipelines for continuous model training, evaluation, and deployment.● Optimize models for real-time inference on embedded GPU hardware (e.g., NVIDIA Jetson).● Improve the system’s ability to handle challenging conditions such as heat, steam, occlusion, variable lighting, and rapid operator movements.● Develop ML systems to support tasks such as activity recognition, anomaly detection, quality assessment, and robotic behavior prediction.● Implement monitoring and feedback loops to identify model drift and drive continuous improvement.● Stay current on advancements in computer vision, robotics ML, edge inference, and GPU acceleration, and recommend new methods for productization.

Qualifications
● Strong background in AI/ML with applied experience in computer vision, robotics ML, or real-time edge intelligence.● Hands-on experience with NVIDIA GPU acceleration, CUDA, TensorRT, and deep learning frameworks (e.g., PyTorch, TensorFlow).● Proficiency in Python, Linux, and modern development workflows (Git, CI/CD, etc.).● Experience building, training, and deploying ML models in production or on embedded systems.● Familiarity with robotic perception concepts such as object detection, segmentation, tracking, sensor fusion, or pose estimation.● Ability to analyze performance bottlenecks and optimize models for latency, throughput, and reliability on embedded hardware.● Strong cross-functional collaboration skills with software, hardware, and robotics teams.

Desired Multipliers
● Experience applying AI/ML to industrial automation, robotic manipulation, or kitchen automation.● Experience with NVIDIA tools and frameworks for robotics and edge AI (e.g., Isaac,tensorRT, Jetson ecosystem).● Familiarity with ROS (Robot Operating System).● Experience with perception algorithms, sensor fusion, motion planning, or behavior modeling.● Knowledge of reinforcement learning, imitation learning, or behavior cloning for robotic applications.● Experience working in noisy, dynamic, or unstructured real-world environments.● Experience with agile tools such as JIRA.● Strong attention to detail and a passion for improving real-world robotic performance.

Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

Benefits:

• Cell phone reimbursement
• Commuter assistance
• Flexible schedule
• Food provided
• Health insurance
• Internet reimbursement
• Leave encashment
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund
• Work from home

Work Location: In person