7.0 - 9.0 years

0 Lacs

pune, maharashtra, india

On-site

Job Description: Experience : 7-9yrs Need a lead level resource in GenAI team. Operating Systems - MS Windows, Linux Languages - Python, SQL Deep Learning - TensorFlow, Keras Machine Learning - Pandas, NumPy, Scikit Learn DL Models - LLM, RNN, LSTM, Transformers, CNN, Yolo, ANN. ML Models - Regression, Classification, Unsupervised, Forecasting. Visualization - Power BI, Tableau Cloud - Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, Bedrock Generative AI - Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, MCP

Posted 3 weeks ago

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Data Science & AI/ML Lead ACL Digital

7.0 - 11.0 years

0 Lacs

pune, all india

On-site

Role Overview: As a lead resource in the GenAI team, you are expected to have 7-9 years of experience. Your expertise will be crucial in working with various operating systems such as MS Windows and Linux. Additionally, you should be proficient in languages like Python and SQL. Your role will involve deep learning using tools like TensorFlow and Keras, as well as machine learning with Pandas, NumPy, and Scikit Learn. Familiarity with DL models such as LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN, as well as ML models like Regression, Classification, Unsupervised, and Forecasting, will be essential. Experience in visualization tools like Power BI and Tableau, and working with cloud platfo...

Posted 3 weeks ago

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GenAI Agentic AI Early Career

8.0 - 12.0 years

0 Lacs

karnataka

On-site

As a highly experienced Gen AI and Agentic AI Lead with deep domain expertise in the banking industry and strong technical proficiency, your role will involve the following key responsibilities: * Strategy and Vision: - Define Gen AI and Agentic AI strategy aligned with Business Objectives. - Identify key areas where Gen AI/Agentic AI can drive automation. * Solution Delivery: - Oversee design, development, and deployment of Gen AI/Agentic AI solutions. - Ensure scalability, accuracy, and reliability of Gen AI solutions. * Governance & Risk: - Implement frameworks for responsible AI. - Define approval, monitoring, and audit processes for AI usage. * Innovation and Enablement: - Evaluate emer...

Posted 1 month ago

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