AI Engineer

Job Overview Job Category: AI Engineer Job Type: Onsite Job Location: Cary, North Carolina Compensation: Depends on Experience Employment: W2-Contract Only; C2C applications will not be considered. 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. #J-18808-Ljbffr JPS Tech Solutions