AI / Machine Learning Engineer (Full-Stack)

AI / Machine Learning Engineer (Full-Stack) Boynton Beach, FL OR Fort Myers, FL Onsite to start → Eligible for Remote after ~6 months We’re partnering with a growing organization in the construction & building materials space seeking a Full-Stack AI Engineer to design, build, and deploy scalable AI and machine learning solutions that drive real business impact. This is a hands-on engineering role where you’ll work across the full lifecycle—from data pipelines to production deployment—while helping shape AI strategy and technical standards. What You’ll Do AI Model Development & Engineering Design, build, and deploy AI/ML models to solve complex business challenges Build scalable model architectures using Python and modern ML frameworks Apply advanced techniques including Natural Language Processing, predictive modeling, computer vision, generative AI, and end‑to‑end ML pipelines Build and manage full ML pipelines Data ingestion Feature engineering Model training & validation Deployment & monitoring Work with large structured and unstructured datasets Continuously improve model performance through testing and optimization Cloud & Production Deployment Deploy AI solutions into production environments using cloud platforms (AWS, Azure, or GCP) Integrate models into enterprise systems, APIs, and operational workflows Implement monitoring for model performance, reliability, and drift Architecture & Technical Leadership Architect scalable, secure AI systems aligned to business needs Define best practices for model development, deployment, and lifecycle management Collaborate with cross‑functional teams to identify high‑value AI opportunities Provide technical guidance and mentorship when needed What You Bring 5+ years of software development experience 3+ years focused on AI / machine learning / advanced analytics Strong experience building and deploying ML models in production environments Proficiency with Python, TensorFlow, PyTorch, Scikit‑learn, and SQL (complex queries & data prep) Experience working with large datasets and developing predictive models Experience integrating AI solutions into enterprise systems or APIs Hands‑on experience with cloud platforms (AWS, Azure, or GCP) Strong problem‑solving and collaboration skills Nice to Have Experience mentoring or leading technical efforts Background integrating with ERP or operational systems Exposure to manufacturing, construction, or field‑based industries Compensation Base Salary: $120K – $140K Bonus: Performance‑based bonus included Why This Role? This is a high‑visibility, impact‑driven opportunity to build AI solutions that directly improve operational efficiency and decision‑making. You’ll work across model development, architecture, and deployment—owning solutions end‑to‑end. Plus, the role offers a clear path from onsite integration with the team → long‑term remote flexibility, giving you both collaboration and autonomy. Benefits Benefit offerings include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Equal Opportunity Employer Veterans/Disabled. To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Company LHH #J-18808-Ljbffr