30 Job openings found

1 Opening(s)
3.0 Year(s) To 4.0 Year(s)
6.00 LPA TO 9.00 LPA
About the RoleWe are seeking a highly skilled and motivated AI/Data Engineer to join our team. The ideal candidate will have expertise in Python, MongoDB, OCR, NLP, model finetuning, and experience with frameworks like Hugging Face. Will be working on building and optimizing AI solutions to process and analyze data, ...
3 Opening(s)
1.0 Year(s) To 3.0 Year(s)
4.00 LPA TO 6.50 LPA
Key Responsibility : Key Responsibilities : You will be working with the core R&D team which drives the computer vision and imageprocessing development. Build a deep learning model for our data and object detection on large-scale images. Design and implement real-time algorithms for object detection, classification, tracking, and segmentation Coordinate and communicate within computer vision, ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
6.00 LPA TO 10.00 LPA
Job Title: Product Manager – Electronics & AI-Driven Software Systems Location: [Insert Location] | Type: Full-Time | Experience: 5+ Years Department: Product Management / Engineering / R&D About the Role We are looking for an experienced and technically proficient Product Manager to lead the development and execution of cutting-edge products that blend electronics, ...
3 Opening(s)
0 To 8.0 Year(s)
Not Disclosed by Recruiter
    Key Responsibilities: Design, develop, and implement end-to-end computer vision models Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc. Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks Handle large-scale visual data and optimize pipelines for training, inference, and deployment Collaborate with cross-functional teams including software ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 14.00 LPA
Role Overview We are seeking a Subject Matter Expert (SME) in Artificial Intelligence and Machine Learning to lead and deliver corporate training programs. The ideal candidate will possess deep domain knowledge, real-world experience, and a strong passion for teaching and innovation. Key Responsibilities  Training Delivery: Conduct high-quality, in-depth AI/ML ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Role Overview:We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latestdevelopments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a strong foundationin Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role indesigning, architecting, and deploying full-stack ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 18.00 LPA
About the role You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member. Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
9.00 LPA TO 25.00 LPA
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions. Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

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