Position: AI ML Engineer Location: Miramar, FL (Hybrid) Duration: 6 Months Contract (W2 Contract) Interview: WebEx/Video Required Skills Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions Experience in working with API services for serving NLP and analytical models, including Flask or Fast API Experience with DevOps Tools, including Docker, K8s, or Gitlab CI/CD Knowledge of AI-enabled systems Knowledge of AI concepts, including clustering, regression, algorithm selection, and evaluation Ability to address unbounded technical issues and problem solve Required Education Bachelor's degree in Computer Science, Mathematics, or similar field Required Years of Experience Five years' experience in AI/ML modeling and system implementation Desired Skills Experience with HTML, CSS, and front-end web frameworks Experience with MS Copilot Studio, Amazon Web Services (AWS) or Azure AI and ML services, including Bedrock and Sagemaker Experience with working in enterprise systems Experience with Data Operations, such as analytics, engineering, or platform Knowledge of artificial intelligence principles and practices, including deploying ML models into production Ability to evaluate algorithm performance Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Desired Education Bachelor’s degree Desired Years of Experience 7+ years of overall experience in Data Science & AI. 5+ years of experience with ML Engineering and/or ML Ops. Additional Information Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. Experience creating proof of concepts and evaluating new tools and technologies to establish and document best practices. Experience building scalable machine learning systems and data-driven products working with cross-functional teams. Proficient in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). Proficient in SQL.