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5 - 10 years

7 - 12 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Full Time

Job Description

Design, develop, and deploy end-to-end machine learning and deep learning models for classification, regression, prediction, and computer vision tasks using TensorFlow, PyTorch, and scikit-learn.
- Build and fine-tune transformer-based LLMs (GPT, BERT, LLaMA, etc.) for tasks such as text summarization, chatbots, sentiment analysis, semantic search, and retrieval-augmented generation (RAG) systems. - Apply prompt engineering, chain-of-thought prompting, and synthetic data generation to enhance the performance of generative AI applications. - Collaborate with data engineers to build scalable data pipelines using Spark, Kafka, Hadoop, and Airflow. - Implement model training pipelines and automate hyperparameter tuning, model evaluation, and performance tracking. - Deploy ML models in production environments using AWS, Azure, or GCP, leveraging Docker, Kubernetes, and CI/CD workflows. - Analyze complex datasets, perform statistical analyses, and conduct hypothesis testing, time-series forecasting, and feature engineering. - Visualize and present findings using Tableau, Power BI, or Plotly, creating narratives that influence product and business strategy. - Stay current with trends in LLMs, GenAI, responsible AI, and contribute to thought leadership within and outside the organization.

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