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AI/ML Engineer/Architect

K Anand CorporationCharlotte, NC🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role: AI/ML Engineer/Architect

Location: Charlotte, NC
Job Type: W2 and C2C

Experience Required: 12+ Years

Job Summary

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in machine learning, deep learning, Generative AI, and cloud platforms, with experience building production-grade AI applications.

Required Skills

  • 8+ years of experience in AI/ML Engineering
  • Strong programming skills in Python
  • Hands-on experience with Machine Learning, Deep Learning, and Generative AI (LLMs)
  • Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Strong understanding of NLP, RAG, prompt engineering, and vector databases
  • Experience with REST APIs and model deployment
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with SQL/NoSQL databases
  • Excellent analytical, communication, and problem-solving skills

Preferred Qualifications

  • Experience with OpenAI, Azure OpenAI, LangChain, LlamaIndex, or Hugging Face
  • Experience deploying ML models using MLOps tools such as MLflow or Kubeflow
  • Knowledge of data engineering tools such as Spark or Databricks

Responsibilities

  • Design, build, and deploy AI/ML models for enterprise applications
  • Develop and optimize Generative AI and LLM-based solutions
  • Build scalable APIs and AI services for production environments
  • Collaborate with data engineers, software developers, and business stakeholders
  • Optimize model performance, scalability, and reliability
  • Follow best practices for MLOps, monitoring, testing, and model governance

Thanks & Regards,

Aditya Kumar

Email:

Web:

Skills

Docker
SQL
AWS
MLOps
MLflow
Machine Learning
NLP
Scikit-learn
Azure
Databricks
Deep Learning
Generative AI
Google Cloud
Hugging Face
Kubernetes
LLM
PyTorch
Python
REST
TensorFlow

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