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Open nowPosted 53 days ago

Senior AI / ML Engineer (Python)

ITTConnect19 open roles

Where
Charlotte, NC, United States
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Your applicationOpen nowSenior AI / ML Engineer (Python)ITTConnect · Charlotte, NC, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ITTConnect's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ITTConnect postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 53 days ago

ITTConnect median: 1 days open

The posting

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. Job location: Charlotte, NC. 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. Key Responsibilities: Architect and develop AI-driven IVR and conversational systems using Python Build NLP models for text classification and clustering to support intent detection and call routing Perform data analysis using SQL Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases Lead development of Agentic AI workflows for multi-step customer interactions Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management Partner with IVR platform, speech engineering, and product teams Mentor offshore and junior AI engineers Requirements 12+ years of experience in AI / ML Strong proficiency in Python. Proven expertise in NLP, including: Text classification Clustering Strong experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG) Good to Have: Experience with Agentic AI and multi-agent orchestration Experience with LLMOps / MLOps in production environments Cloud Experience Libraries & Tools: Python / ML: NumPy, Pandas, Scikit-learn, XGBoost NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI Data & SQL: Oracle, MySQL, SQLAlchemy Vector Databases: FAISS, Pinecone, Weaviate, Qdrant LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

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