Senior AI / ML Engineer (Python)

Charlotte, NC, US • Posted 1 day ago • Updated 10 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Telecommunications
  • Innovation
  • Routing
  • Use Cases
  • Workflow
  • Evaluation
  • Management
  • Interactive Voice Response
  • Text Classification
  • Clustering
  • Data Analysis
  • Prompt Engineering
  • Artificial Intelligence
  • Orchestration
  • Python
  • Machine Learning (ML)
  • NumPy
  • Pandas
  • scikit-learn
  • XGBoost
  • Natural Language Processing
  • NLTK
  • LangChain
  • LlamaIndex
  • SDK
  • Autogen
  • SQL
  • Oracle
  • MySQL
  • Vector Databases
  • Machine Learning Operations (ML Ops)

Summary

Job Description
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:

  • 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

Requirements
  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91021855
  • Position Id: b9dd93e865b1b8bff6cb0b37ce673d8e
  • Posted 1 day ago
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