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AI Engineer

JPS Tech Solutions

🇺🇸Cary, USsenioronsite

  • aws
  • azure
  • ci/cd
  • docker
  • fastapi
  • gcp
  • kubernetes
  • mlops
  • numpy
  • pandas
  • python
  • pytorch
  • restful apis
  • scikit-learn
  • tensorflow

Job Category: AI

Job Type: Onsite

Job Location: Cary North Carolina

Compensation: Depends on Experience

W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.

Job Description

Job Description:

We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications.

Key Responsibilities

  • Design, develop, and deploy machine learning and deep learning models for real-world business use cases
  • Build and maintain scalable data pipelines and AI-driven microservices using Python
  • Implement model training, evaluation, tuning, and performance optimization techniques
  • Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms
  • Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring
  • Ensure model reliability, scalability, and performance in production environments
  • Collaborate with engineering, data, and business teams to translate requirements into AI solutions

Required Skills & Experience

  • 12+ years of overall experience in software engineering, AI, or machine learning
  • Strong expertise in Python, including NumPy, Pandas, and FastAPI
  • Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Proven experience deploying and maintaining ML models in production environments
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP
  • Experience with Docker, Kubernetes, and containerized deployments
  • Solid knowledge of RESTful APIs and microservices architecture
  • Experience with MLOps, CI/CD pipelines, and model monitoring

Preferred Skills

  • Experience with NLP, Large Language Models (LLMs), or Generative AI
  • Familiarity with enterprise-scale, distributed systems and data platforms

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