Tata Elxsi Hiring for AI ML Specialist at Pune Full Time

Tata Elxsi is known for its ability to create consumer delight, build loyalty, and drive revenue growth in the field of MedTech ER&D. From wearables for the health-savvies to critical medical devices and drugs that save thousands of lives daily, we at Tata Elxsi help global healthcare brands design, engineer, and commercialize differentiated and sustainable products for the competitive marketplace. Join our team of award-winning designers, technologists, and digital experts and craft your future. We are looking for a highly qualified and enthusiastic Machine Learning Engineer who will be the right fit for AI ML Specialist with experience in deep learning, signal processing, and computer vision.

Qualifications:

• BE/ B.Tech/ MS or Ph.D. in ECE, Computer Science, or related disciplines with an overall experience of 4+ years
• Certifications in Machine Learning, Deep Learning, and Data Science

Skills and Experience Required

• Expertise in analytics, deep learning, and machine learning techniques
• Sound conceptual understanding of signal processing, CNN, LSTM, optimization functions, and related mathematical operations
• Experience with projects involving visual object detection/ object recognition, and semantic segmentation (2D and 3D) for medical applications
• Experience in Python and C++ programming
• 3+ years of experience in OpenCV, Pytorch/ Tensorflow/ Keras
• Knowhow of high-performance computing
• Experience with leading a team of AI/ ML Engineers
• Excellent interpersonal skills, self-motivated, dynamic, and can-do attitude

Tasks and Responsibilities:

• Development of pattern recognition algorithms for time-series data
• Development of advanced deep learning models and image processing algorithms for tasks like object detection, object recognition, semantic segmentation, etc
• Python, C++ implementation of deep learning algorithms/ models to solve real complex computer vision problems
• Optimizing the models for running inferences on embedded devices
• Managing a small team of young Machine Learning Engineers
• Preparing project reports and presenting the same to project manager/ customer