AI / ML Engineer (Python)

• Architectand develop AI-driven IVR and conversational systems using Python
• BuildNLP models for text classification and clustering to supportintent detection and call routing
• Performdata analysis using SQL
• Designand deploy LLM workflows (prompt engineering, RAG, evaluation) for voiceand chat use cases
• Leaddevelopment of Agentic AI workflows for multi-step customerinteractions
• Establish LLMOps best practices, including monitoring, evaluation, andlifecycle management
• Partnerwith IVR platform, speech engineering, and product teams
• Mentoroffshore and junior AI engineers

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems., * 12+years of experience in AI / ML

• Strong proficiency in Python.

• Provenexpertise in NLP, including:

• Textclassification
• Clustering

Strongexperience in data analysis using SQL

Hands-onexperience with LLMs:

• Promptengineering
• Evaluationframeworks
• Retrieval-AugmentedGeneration (RAG)

Good to Have:

• Experiencewith Agentic AI and multi-agent orchestration
• Experiencewith LLMOps / MLOps in production environments
• CloudExperience

Libraries & Tools:

• Python/ ML: NumPy, Pandas, Scikit-learn, XGBoost
• NLP: spaCy,Hugging Face Transformers, NLTK, Sentence-Transformers
• LLMFrameworks: LangChain, LlamaIndex, OpenAI SDK
• AgenticAI (Good to Have): LangGraph, AutoGen, CrewAI
• Data& SQL:Oracle, MySQL, SQLAlchemy
• VectorDatabases: FAISS, Pinecone, Weaviate, Qdrant
• LLMOps/ MLOps (Good to Have): MLflow, Weights &Biases, BentoML, Airflow

ITTConnect is seeking an experienced Senior AI / ML Engineer (Python) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry.