AI/ML Engineer

Axogen•Tampa, FL

3h•$92,293 - $115,367

About The Position

We are seeking an experienced AI Engineer to join our Center of Excellence team, driving the development and implementation of artificial intelligence and intelligent automation solutions across the organization. This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or related field
Minimum 3 years of hands-on experience in software development and experience in developing and deploying AI/ML solutions in production environment.
Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch)
Experience with cloud AI platforms (AWS, Azure, or GCP)
Experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate)
Solid understanding of deep learning, neural networks, and AI algorithms
Experience with AI model deployment and containerization (Docker, Kubernetes)
Knowledge of process automation, workflow design, and business process optimization
Programming: Python, SQL, VB.NET/C#/Java
AI/Deep Learning: Neural Networks, NLP, Computer Vision, Generative AI
Frameworks: TensorFlow, PyTorch, OpenAI APIs
RPA Platforms: UiPath, Automation Anywhere, Power Automate
AI Platforms: Azure AI, Google AI Platform
Integration: REST APIs, Webhooks, Message Queues
Tools: Git, Docker, Kubernetes, Orchestrator
Excellent problem-solving and analytical abilities with process improvement mindset
Strong communication skills to explain AI and automation concepts to non-technical stakeholders
Collaborative mindset with cross-functional team experience
Self-motivated with ability to manage multiple priorities
Passion for continuous learning in AI and automation advancements
Business acumen to identify and quantify automation opportunities

Nice To Haves

Experience with large language models (LLMs) and generative AI
Knowledge of AI model monitoring, governance, and responsible AI practices
Experience with intelligent document processing (IDP) and OCR technologies
Familiarity with process mining tools and automation analytics
Experience building real-time AI systems and APIs
Previous experience in a CoE or platform role
RPA Developer or AI/ML certifications (UiPath, Automation Anywhere, AWS, Azure)

Responsibilities

Design, develop, and deploy AI models and RPA solutions to address complex business challenges
Build and optimize AI pipelines including data preprocessing, model training, and deployment
Develop and maintain intelligent automation workflows using RPA platforms
Implement and maintain scalable AI and RPA infrastructure and frameworks
Integrate AI capabilities with RPA bots for intelligent automation
Conduct experiments to evaluate AI model and automation performance and implement improvements
Support leadership to establish and maintain AI and RPA best practices, standards, and governance frameworks
Develop reusable AI and automation components and templates for enterprise-wide use
Create technical documentation and guidelines for AI and RPA development
Support to evaluate and recommend new AI, RPA technologies and platforms
Support to define automation opportunity assessment criteria and prioritization frameworks
Partner with stakeholders to identify automation opportunities and deliver AI-powered solutions
Provide technical guidance and mentorship on AI and RPA technologies
Conduct training sessions to build AI and automation capabilities across teams
Stay current with latest AI, RPA research and industry trends
Prototype and evaluate emerging technologies including generative AI, LLMs, and document processing (RAG)