Machine Learning Engineer

About the Company:
Bhatiyani Astute Intelligence Pvt. Ltd. is a fast-growing technology company focused on delivering AI-driven computer vision solutions for industrial and enterprise applications.We specialize in warehouse automation, visual quality control, object tracking, inventory management, and edge AI systems — empowering organizations to make data-driven decisions through intelligent vision-based monitoring.At Bhatiyani Astute Intelligence, innovation meets execution — we encourage curiosity, creativity, and a research-first mindset to solve real-world visual challenges.About the Role:We’re looking for a Computer Vision Engineer who’s passionate about developing and deploying deep learning-based vision systems.This role is perfect for someone who enjoys researching cutting-edge methods, experimenting with new architectures, and turning those ideas into practical, high-performing solutions. You’ll work on building intelligent pipelines for detection, tracking, and visual understanding using modern AI tools.What You’ll Do:Develop and optimize computer vision algorithms for detection, segmentation, and tracking tasks.Research and implement state-of-the-art techniques from academic papers and open-source projects.Preprocess and augment image/video datasets for model training.Train and fine-tune models using PyTorch or TensorFlow.Integrate OpenCV-based classical methods with deep learning for improved results.Work with RGB, depth, and stereo camera data to extract meaningful visual features.Perform benchmarking, evaluation, and optimization for real-time deployment.Collaborate with cross-functional teams to integrate solutions into production or edge environments.What We’re Looking For:Core Skills:Experience with object detection, tracking, and segmentation (e.g., YOLO, Detectron2, Mask R-CNN).Proficiency in Python, OpenCV, and deep learning frameworks (PyTorch/TensorFlow).Strong understanding of image processing, camera geometry, and feature extraction.Research-oriented mindset — ability to explore, compare, and implement advanced algorithms.Familiarity with GPU training and performance optimization.Knowledge of Git and working in Linux environments.Bonus Skills:Experience with 3D vision, depth estimation, or point cloud processing (Open3D, PCL, or PyTorch3D).Exposure to Docker, edge deployment, or MLOps pipelines.Knowledge of API design and integration of AI models into applications.Qualifications:🎓 Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical, or related fields with specialization in AI/ML or Computer Vision. 📊 Strong understanding of linear algebra, geometry, and probability. 💡 0–3 years of hands-on experience in a computer vision or deep learning project (academic or professional).Who You Are:Passionate about AI, computer vision, and applied research.Curious and self-motivated with strong implementation skills.Analytical thinker with attention to detail and performance optimization.Excited to learn, experiment, and contribute to real-world AI systems.Collaborative, proactive, and comfortable working in fast-paced environments.Why Join Us:Be part of an AI-first company solving complex industrial challenges.Freedom to research, innovate, and build production-level AI solutions.Collaborative team with strong technical mentorship.Competitive salary, learning opportunities, and career growth.#computervision #machinelearning #artificialintelligence #ai #python #job #deepstream #yolo #ultralytics #opencv #warehouse #warehousemanagement #deeplearning #automation #videoanalytics #nvidia