Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
Job Summary –
We are seeking a highly motivated and experienced Senior Computer Vision Engineer to join our dynamic Engineering and Research team. The work involves leveraging the latest advancements in deep learning to create robust and highly accurate systems for image classification, object detection, and semantic segmentation. This position offers the opportunity to contribute to impactful projects, work with the latest technologies, and shape the future of technological innovation and research-driven solutions.
Roles & Responsibilities :
Lead Deep Learning Model Development: Architect, design, develop, and implement state-of-the-art deep learning models for image classification, object detection, and semantic segmentation tasks.
Algorithm Research and Selection: Stay abreast of the latest research and advancements in deep learning for computer vision. Evaluate, benchmark, and select appropriate algorithms and architectures (e.g., CNNs, Transformers, GANs, etc.) based on project requirements and performance metrics.
Data Strategy and Preprocessing: Collaborate with data scientists and engineers to define data collection strategies, perform extensive data augmentation, labeling, and preprocessing to ensure optimal model training and performance.
Model Training and Optimization: Design and execute robust training methodologies, including hyperparameter tuning, regularization techniques, and distributed training strategies to achieve high accuracy and efficiency.
Performance Evaluation and Analysis: Conduct rigorous model evaluation, performance profiling, error analysis, and interpretability studies to identify areas for improvement and ensure robust model behavior in diverse scenarios.
Deployment and Integration: Work closely with software engineers to integrate trained deep learning models into production systems, considering performance, scalability, and resource constraints.
Research and Innovation: Actively contribute to the team's research agenda, identifying new opportunities, proposing innovative solutions, and potentially publishing research findings.
Mentorship and Knowledge Sharing: Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and knowledge sharing within the team.
Cross-Functional Collaboration: Collaborate effectively with other R&D teams, product managers, and stakeholders to understand requirements, define project scope, and deliver impactful solutions.
Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and results.
Qualifications
Educational qualification:
ME/M. Tech/MS (Electronics, Computer Science or related)
Experience :
6 to 8 years of professional experience.
Mandatory/requires Skills :
Excellent programming & rapid prototyping skills in Python.
Exposure to Object Oriented Programming and Design, Data structures / Algorithms is a must.
Expertise on OpenCV, DLib, Numpy.
Excellent knowledge on any/all of the given concepts in Computer Vision - namely Image Classification, Object Detection and Semantic Segmentation developed using state of the art deep learning algorithms.
Hands on experience in developing efficient and real-time convolution neural network models.
Awareness of Machine learning concepts, hyperparameters tunning, metrics and training methods, and able to make benchmarks with other SOTA models.
Hands on working experience with anyone of the deep learning frameworks - TensorFlow, Caffe, Pytorch, Keras, MXNet, Theano.
Experience on Foundation Models especially with EVA & DINO a big plus. Well conversed with MLOps concepts (Hands on experience with mlflow a big plus)
Exposure to model compression and pruning in deep learning.
Familiarity with GPU computing (CUDA, OpenCL), HPC and and, should have hands on experience in local GPU Linux servers or cloud machine learning service providers like AWS, Azure, etc.
Strong Problem Solving & Communication skills.
Highly Motivated, Creative and a Team player.
Responsible on taking the ownership of modules/projects as well as contributing/collaborating the team with individual contributions.
Preferred Skills :
Experience/exposure to usage of Open-Source technologies, State of Art models and understanding of famous model backbones.
Knowledge on containerizing the CV applications as docker or pod and REST API services for DL inference modules.
Experience of CV solution deployment on Edge (NVIDIA, etc.) would be big plus.
Additional Information
Why Bosch Research? At Bosch Research, you will experience a startup culture within a global corporate environment, providing access to cutting-edge research, significant computing infrastructure including large-scale LLM farms, and real-world challenges that demand immediate solutions. Join us to architect scalable, impactful, and state-of-the-art Agentic AI solutions.
