Job description :
8+ years of total experience 4+ years of work 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
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

Keyskills: Artificial Intelligence Natural Language Processing Aiml Machine Learning Deep Learning Python
We are hiring Fulltime with TechMahindra for below mentioned Skills:\\\\n\\\\n1. Experience with Big Data Environment\\\\n\\\\n2. Hands on coding in Python, Spark, Hive\\\\n\\\\n3. Shell Scripting