Data Scientist - Hosur, India - TVS Motor Company

TVS Motor Company Hosur, India

2 days ago

Technology / Internet

Description

Role Title: Data Scientist

Location of job: Hosur

Educational Qualification: B. Tech / MBA

Experience:2- 4 Years

Objective of role:

We are looking for a Data Scientist for our Parts business. This person's primary responsibility will be to coordinate with all stakeholders on functional area to analyse the problem and solving various aspects of Tech COE & Digital Manufacturing business. Stakeholder management to understand the Business Pain points and Improvement areas and implement the solution to improve the Business efficiency and productivity.

This role will be required to proactively engage with Business, Technology Partners, Data Engineers, Data science and many more cross functional teams.

We are seeking a highly motivated and experienced Computer Vision Expert to join our growing team. In this role, you will play a key role in developing and implementing cutting-edge computer vision solutions for Manufacturing and Supply Chain as an IC

Roles and 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.

Mandatory Skills: Classification:

2-5 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.

Bonus Points:

Experience with specific computer vision applications relevant to our company's domain.
Strong publication record in top computer vision conferences and journals.

Education Qualification:

BE/ME in Any Engineering, or a related field (or equivalent experience) with a strong focus on computer vision.

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