Machine Learning Engineer with NOVA
Machine Learning Engineer - NOVAREQUIRED: Robotics experiencePre-Screening Questionnaire:-Have you worked on a computer vision project-Do you have exposure on Nova fine-tuningMust Have Technical/Functional Skills:Hands-on experience with PyTorch, TensorFlow, OpenCV, and vision-language modelsFamiliarity with synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse)Experience with model evaluation metrics and performance tuningKnowledge of ROS/ROS2, Python, and C++ for robotics integrationExposure to cloud-based ML workflows (AWS SageMaker, EC2, S3) is a plusPrior work in robotics perception, VLMs, or multi-modal AI systems is highly desirableRoles & Responsibilities:Assist in fine-tuning NOVA and other vision-language models for robotic perception tasksCurate and preprocess datasets from simulation and real-world environmentsEvaluate model performance across tasks such as object detection, segmentation, and scene understandingCollaborate with simulation engineers to validate models in Isaac Sim and Omniverse environmentsSupport real-world deployment and testing of tuned models on robotic platformsGeneric Managerial Skills, If any:The engineer will play a critical role in bridging simulation and deployment pipelines for advanced perception systems.Key Words to search in Resume:ML Engineer, Computer Vision, NOVA Fine-Tuning, Vision-Language Models, Isaac Sim, Synthetic Data, Robotics AI, AWS ML Pipelines, Simulation EvaluationEducation:Masters/bachelors in computer science, AI, Robotics, or related field