7.0 - 12.0 years

20 - 30 Lacs

Kolkata, Hyderabad, Bengaluru

Work from Office

Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data pr...

Posted 3 months ago

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Sr. Data Scientist Int9 Solutions

5.0 - 10.0 years

12 - 18 Lacs

Bengaluru

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We are looking for a skilled Data Scientist to develop and implement predictive models that drive business decision-making. The ideal candidate will have strong expertise in machine learning, data analysis, and statistical techniques, using tools such as Python, R and Jupyter Notebooks. This role involves collaborating with cross-functional teams to translate business challenges into data-driven solutions. Requirements and Qualifications: Must-Have Skills: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 5+ years of experience in data science roles. Strong experience in predictive modeling and machine learning. Proficiency in Python and R for data analysis...

Posted 5 months ago

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Head of Machine Learning & AI Mynd

8.0 - 10.0 years

40 - 45 Lacs

bengaluru

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Responsibilities: ML Architecture, Strategy & Innovation Define and drive the ML strategy across business domains, identifying high-impact opportunities for automation, optimization, and prediction. Architect scalable ML systems and reusable frameworks that support real-time inference, batch processing, and continuous learning. Lead the evaluation and adoption of cutting-edge ML techniques (e.g., foundation models, causal inference, reinforcement learning) to solve complex business problems. End-to-End ML Lifecycle Ownership Lead the design, development, and deployment of advanced supervised and unsupervised models for use cases such as churn prediction, demand forecasting, fraud detection, ...

Posted Date not available

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