Title:  AI ML Engineer, CCaaS Location: Miramar, FL

Duration:  + months contract to hire

Compensation: $ –

Work Requirements: US Citizen, GC Holders or Authorized to Work in the

AI ML Engineer, CCaaS

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using machine learning (ML) techniques makes you an integral part of delivering a customer-focused solution. Your technical knowledge and desire to problem-solve to support the next generation of systems. As a machine learning engineer on our team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. Your advanced and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. 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, Ks, 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 Five years' experience in AI/ML modeling and system implementation 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

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 ( Numpy, Pandas, Sklearn, PySpark). Proficient in SQL.

Desired Education: Bachelor's degree in Computer Science, Mathematics, or similar field

Desired Experience: + years of overall experience in Data Science & AI. + years of experience with ML Engineering and/or ML Ops. Our benefits package includes: Comprehensive medical benefits Competitive pay (k) retirement plan much more!