Padmi

Sr AI Engineer (Pune)

MumbaiPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Job Title: AI/ML Engineer Experience Level: 1-6 years Location: [Pune] Type: Full-Time Job Summary We are looking for a dynamic and cutting-edge AI/ML Engineer with expertise in Generative AI and hands-on experience in GCP or other cloud platforms. The ideal candidate will have proven experience in developing, training, fine-tuning, and deploying advanced AI/ML models. You will play a pivotal role in building scalable, production-ready solutions involving large datasets, NLP techniques, and cutting-edge frameworks such as MCP, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract, Adapt, Construct, Think). This role requires a solid foundation in Python, SQL, and AI/ML development pipelines, combined with a passion for solving real-world problems using AI. Roles & Responsibilities 1. Model Development & Training - Design, train, and fine-tune AI/ML models, especially Generative AI and Large Language Models (LLMs), to address specific use cases. - Build conversational AI solutions and chatbots using frameworks such as LangChain, RAG (Retrieval-Augmented Generation), and Chain-of-Thought (COT) prompting. - Apply advanced techniques, including embeddings, fine-tuning, and custom prompting strategies. - Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to enhance model capabilities. - Develop scalable AI solutions to integrate seamlessly into production environments. 2. Data Handling - Manage large-scale datasets for AI/ML applications, ensuring data quality, transformation, and normalization. - Conduct data analysis, preprocessing, and munging to extract valuable insights. - Implement scalable data engineering workflows for model development and production. 3. Cloud AI/ML Deployment - Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure). - Leverage GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows. 4. Collaboration & Solutioning - C .

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