What Were Looking For :

- 7+ years of hands-on experience applying AI/ML in real-world projects

- Strong expertise in Generative AI and Large Language Models (LLMs)

- Strong proficiency in Python and SQL

- Hands-on experience with TensorFlow, PyTorch, and Scikit-learn

- Strong experience with LLM, RAG and Agentic AI architectures

- Hands-on experience with LangChain, LangGraph or similar LLM orchestration frameworks

- Experience with AWS, Azure, or GCP, including services such as SageMaker, Lambda, S3 and Vertex AI

- Experience with Hugging Face Transformers and NLP use cases

- Strong understanding of Spark, Snowflake, ETL pipelines and data engineering

- Experience with SQL, MySQL, PostgreSQL and MongoDB

- Exposure to Tableau or Power BI

- Strong understanding of Pandas, NumPy, Matplotlib and Seaborn

What Youll Work On :

- Design, develop and deploy ML models for predictive analytics, classification and clustering

- Architect Generative AI solutions using LLMs, RAG and Agentic AI

- Build and optimize LLM orchestration workflows using LangChain, LangGraph and similar frameworks

- Develop AI-powered chatbots, automation and conversational AI solutions

- Fine-tune Hugging Face transformer models for NLP use cases

- Build scalable AI applications across AWS, Azure and GCP environments

- Design and optimize ETL/data pipelines for large-scale AI and analytics workloads

- Leverage Spark and Snowflake for big-data processing

- Contribute to Agentic AI systems enabling intelligent and autonomous decision-making

Education :

- Bachelors degree in Computer Science, Data Science, AI/ML or a related discipline.