AIML -Pan India- 18 Jun (Thursday) - Virtual Interview - (5+ Years)

Job description

**Experience in AI projects with deployment of AI based projects in production. • Good Understanding of Agentic AI, and Agentic Frameworks (LangGraph, LangChain) • Knowledge and Experience of working with Large Language Models, RAG, Transformers etc • Develop sophisticated ML models to create new data samples, patterns, or content based on existing data or inputs • Should have a working experience of AI/ML projects deployed in Production. • Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP • Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP • Comprehensive knowledge and experience of Azure/AWS services for AI/ML Projects (Databricks, AKS/EKS, ADF, Cognitive Services etc, Logic Apps, Power Automate etc.) • Proven good grasp of using LLMs, Deploying LLMs Proficiency in libraries such as Hugging face and OpenAI API • Conduct model testing, validation, and optimization to enhance performance** - **Proven experience in containerizing AI/ML projects. • Proven experience in CI/CD pipelines and tools like GitHub Actions • Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets • Stay current with the latest advancements in generative AI technologies and practices • Orchestration and management of containers in production environments for AI/ML projects • Proven strategic thinking in systems capacity planning, hardware and software updates, and migration • Solid programming skills in Python • Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting. • Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus • Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch • Solid programming skills in Python, with experience in pandas, NumPy, and SQL • Familiarity with AIML governance, ethics, and responsible AI practices • Proven track record in resolving code vulnerabilities** **AI Frameworks & Tools o Work with agentic AI frameworks like LangChain and LangGraph. o Optimize and quantize GenAI models, including those using RAG, Transformers, and VectorDBs**