Principal Data Scientist

**Group Company**: TVS Motor Company

**Designation**: Principal Data Scientist

**Office Location**:Hosur

**Position description**:

- 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.

**Primary Responsibilities**:

- 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.

**Additional Responsibilities**:

- Strong publication record in top computer vision conferences and journals.