Job
Description
Role Overview: You will be a Data Science Sr. Analyst responsible for leading innovative projects and implementing impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. Your role will involve combining technical expertise with client delivery management to work on cutting-edge projects in Generative AI, decision science, and cloud-based analytics. Key Responsibilities: - Utilize your expertise in Generative AI to design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring scalability for enterprise applications. - Architect agentic AI solutions by integrating APIs and enterprise knowledge bases with orchestration frameworks like LangChain, LlamaIndex, and AutoGen. - Optimize agent workflows by fine-tuning RAG pipelines, improving context handling, and enhancing reliability for better performance. - Build scalable retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate, and Milvus for seamless enterprise integration. - Design scalable AI/ML workflows on Azure or AWS with a focus on cost and performance optimization for cross-functional domains. - Leverage cloud-native MLOps tools like SageMaker and Azure ML for model training, deployment, monitoring, and governance. - Develop advanced predictive models, recommendation engines, and optimization solutions to drive business relevance and measurable impact. - Engineer robust data pipelines and feature stores to support GenAI and ML models across various datasets including structured, unstructured, and multimodal data. Qualifications Required: - Experience: You should have 3+ years of experience in data engineering or data science. - Education: A degree in B.Tech, M.Tech in Computer Science, Statistics, Applied Mathematics, or a related field is required. Additional Details of the Company: The ideal candidate for this position should have a strong educational background in a quantitative discipline and experience working with Hi-Tech clients. The position is based in Bengaluru, with Kolkata and Hyderabad offices also available. Role Overview: You will be a Data Science Sr. Analyst responsible for leading innovative projects and implementing impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. Your role will involve combining technical expertise with client delivery management to work on cutting-edge projects in Generative AI, decision science, and cloud-based analytics. Key Responsibilities: - Utilize your expertise in Generative AI to design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring scalability for enterprise applications. - Architect agentic AI solutions by integrating APIs and enterprise knowledge bases with orchestration frameworks like LangChain, LlamaIndex, and AutoGen. - Optimize agent workflows by fine-tuning RAG pipelines, improving context handling, and enhancing reliability for better performance. - Build scalable retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate, and Milvus for seamless enterprise integration. - Design scalable AI/ML workflows on Azure or AWS with a focus on cost and performance optimization for cross-functional domains. - Leverage cloud-native MLOps tools like SageMaker and Azure ML for model training, deployment, monitoring, and governance. - Develop advanced predictive models, recommendation engines, and optimization solutions to drive business relevance and measurable impact. - Engineer robust data pipelines and feature stores to support GenAI and ML models across various datasets including structured, unstructured, and multimodal data. Qualifications Required: - Experience: You should have 3+ years of experience in data engineering or data science. - Education: A degree in B.Tech, M.Tech in Computer Science, Statistics, Applied Mathematics, or a related field is required. Additional Details of the Company: The ideal candidate for this position should have a strong educational background in a quantitative discipline and experience working with Hi-Tech clients. The position is based in Bengaluru, with Kolkata and Hyderabad offices also available.
