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5.0 - 9.0 years
0 Lacs
panchkula, haryana
On-site
You are a skilled and experienced Senior Data Scientist with a strong focus on Natural Language Processing (NLP), recommendation engines, and neural search technologies. With over 5 years of relevant experience, you have a proven track record of developing and deploying sophisticated data-driven models and systems. In this role, you will play a critical part in shaping the future of data products and services. Your key skills include holding a BTech/BE degree, proficiency in Python, data structures, and system design. You have experience with NumPy and Pandas, and possess knowledge of neural networks such as CNN, GANs, CGAN, Transformers, RNN, and LSTM. You are adept at fine-tuning embedding...
Posted 1 month ago
13.0 - 17.0 years
0 Lacs
karnataka
On-site
Prismforce is a Vertical SaaS company at the forefront of revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Through our AI-powered product suite, we aim to enhance business performance by facilitating operational flexibility, accelerating decision-making processes, and boosting profitability. Our ultimate mission is to establish ourselves as the premier industry cloud/SaaS platform for tech services and talent organizations worldwide. We are currently seeking a highly experienced Data Scientist to join our team in Bangalore within the AI & ML department. In this role, you will be instrumental in leveraging your expertise in Natural Lan...
Posted 1 month ago
8.0 - 13.0 years
14 - 24 Lacs
Pune, Ahmedabad
Hybrid
Senior Technical Architect Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML m...
Posted 4 months ago
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