Computer Vision Engineer

4 days ago

Anywhere in IndiaMultiple Locations, IN FINDERNEST SOFTWARE SERVICES Full time

Experience : 8+yrs.

Location : Hyderabad/Bangalore.

Job Description :

We are seeking a highly skilled and passionate Lead Computer Vision Engineer with expertise in robotics to join our team.

As a Lead Engineer, you will play a key role in developing and advancing cutting-edge solutions in the field of computer vision and robotics.

We are looking for individuals with a strong background in computer science, mathematics, and machine learning, as well as leadership skills to drive innovation.

Key Responsibilities :

- Design and implement computer vision algorithms and models to analyze and interpret visual data.

- Develop and optimize image processing pipelines for object detection, recognition, and tracking.

- Create and train deep learning models for image classification and semantic segmentation.

- Collaborate with cross-functional teams to integrate computer vision solutions into products and systems.

- You will lead a team of researchers and engineers in the field of computer vision and robotics to deliver innovative products and solutions.

- Experiment with state-of-the-art methods in object detection, scene reconstruction, and motion planning.

- Train neural networks on in-house domain-specific datasets.

- Analyze experimental results and come up with ways to improve the robustness, sample efficiency, accuracy, and other model properties.

- Design and implement domain-specific benchmarks, profile and optimize the performance of neural networks as well as end-to-end systems.

- Design and build robotic applications combining multiple perception and motion planning models.

- Enhance datasets for comprehensive training in manipulation and streamline data review, cleaning, and labelling processes.

- Research and evaluate the latest advancements in computer vision and recommend innovative approaches.

- Optimize algorithms for real-time performance and resource-constrained environments.

- Conduct testing and validation of computer vision systems to ensure accuracy and robustness.

- Contribute to technical documentation, including algorithm specifications and performance reports.

- Participate in code reviews and provide mentorship to junior team members.

Required Qualifications :

- Master's or Ph.D in Computer Science, Electrical Engineering, or related field.

- Proven experience in computer vision, image processing, and machine learning.

- Proficiency in programming languages such as Python, C++, or Java.

- Strong background in deep learning frameworks like TensorFlow, PyTorch, or Keras.

- Solid understanding of 3D computer vision, point clouds, and spatial transformations.

- Experience with libraries and tools for computer vision development, such as OpenCV.

- Solid fundamentals and experience in computer vision (linear algebra, object detection, structure from motion, vision-language models).

- Experience in robotics or edge is a big plus: evidence of practical experience and projects that involve scene reconstruction, depth estimation, calibration, or deployment on edge devices.

- Experience leading a team of AI/ML engineers.

- Published research: particularly around computer vision and robotics demonstrates a deep understanding and contribution to the field.

- Ability to work with large-scale datasets and implement data augmentation techniques.

- Knowledge of GPU programming for accelerated computation in computer vision tasks.

- Excellent problem-solving skills and analytical thinking for algorithm development.

- Effective communication and collaboration skills to work in multidisciplinary teams.

- Demonstrated ability to deliver high-quality, production-ready code for computer vision applications.

- Experience with version control systems and agile development methodologies.

- Familiarity with cloud platforms and edge computing for deploying computer vision solutions.

- Understanding of image annotation and labeling processes for training supervised learning models.

(ref:hirist.tech)

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