Data Scientist I

Job Summary

Designation: Data Scientist I

Office Location: Bangalore

Responsibilities

• Design, develop, and implement robust computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and pose estimation.
• Conduct research and stay up-to-date on the latest advancements in computer vision techniques, including deep learning architectures (CNNs, RNNs, etc.).
• Develop and train deep learning models for various computer vision tasks using frameworks like TensorFlow, PyTorch, or similar.
• Preprocess and prepare large datasets for training and evaluation of computer vision models.
• Integrate developed algorithms into existing software systems and ensure efficient performance.
• Experience with hardware platforms like GPUs or TPUs for efficient model training and inference
• Experience with deploying computer vision models on embedded systems or cloud platforms.
• Experience with cloud computing platforms (e.g., AWS, GCP) for deploying and scaling vision models.
• Evaluate and optimize the performance of computer vision models, addressing issues like accuracy, speed, and resource efficiency.
• Collaborate with cross-functional teams (engineering, research, product) to understand requirements, define solutions, and deliver impactful results.
• Document developed algorithms and solutions effectively for internal knowledge sharing and future reference.
• May contribute to writing proposals, research papers, and presentations related to computer vision projects.
• Prepare technical documentation and presentations to clearly communicate technical concepts and findings.
• Experience in Video and Image Labelling/Annotations
• Experience in AGILE Environment with good exposure to JIRA and GitHub.
• Experience with specific computer vision applications relevant to our company's domain.
• Strong publication record in top computer vision conferences and journals.

Qualifications

• BE/ME in Any Engineering, or a related field (or equivalent experience) with a strong focus on computer vision.
• 2-4 years of experience in developing and implementing computer vision algorithms.
• Proven expertise in deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
• In-depth expertise in deep learning architectures and frameworks (TensorFlow, PyTorch, Caffe2 etc.).
• Solid experience with image processing techniques, machine learning algorithms, and optimization methods.
• Experience with relevant programming languages (Python, C++, etc.) and libraries (OpenCV, scikit-learn, etc.).
• Excellent problem-solving skills, analytical thinking, and a strong understanding of mathematical concepts.
• Proven ability to work independently and manage multiple projects effectively.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

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