Posted:3 hours ago| Platform: Naukri logo

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Full Time

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 teams 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.

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Robert Bosch Engineering and Business Solutions Private Limited logo
Robert Bosch Engineering and Business Solutions Private Limited

Engineering and Technology Services

Chennai

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