AI/Machine Learning Engineer II

Job Description

Key Responsibilities Experience on end-to-end design, development, and deployment of AI/ML solutions (classification, regression, clustering, time-series forecasting). Build and optimize Generative AI and Agentic AI applications for search, summarization, Q&A, and automation use cases. Develop conversational AI/chatbots using Agentic framework like LangChain,LangGraph , Auto Gen, CrewAI, Azure AI Search, OpenAI, Llama-2, GPT4All, and vector databases (e.g., ChromaDB). Work with cloud platforms (AWS) for scalable data processing and ML model deployment Perform NLP tasks including text classification, entity extraction, brand recognition, and sentiment analysis. Conduct feature engineering, model evaluation, hyperparameter tuning, and optimization. Design and implement data ingestion, transformation, and real-time streaming solutions. Collaborate with business stakeholders to translate requirements into actionable data science solutions. Mentor and guide junior team members, ensuring best practices in AI/ML development. Required Skills & Experience AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. Programming: Python, Java. Cloud Platforms: Amazon Web Services (AWS). Databases: SQL, Postgres, Vector DBs (ChromaDB, FAISS etc). Strong understanding of distributed data processing & storage architectures.