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
• Develop scalable model architectures using Python and modern ML frameworks
• Apply advanced techniques including:
• NLP
• Predictive modeling
• Computer vision
• Generative AI

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
• 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.

“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 https://www.lhh.com/us/en/candidate-privacy

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”