AI / Machine Learning Engineer (Full-Stack)

NLP PEOPLE; Boynton Beach (FL); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K plan

Paid Sick Leave

Job summary

NLP PEOPLE is hiring an AI / Machine Learning Engineer (Full-Stack) in Boynton Beach, FL or Fort Myers, FL. This role involves designing, building, and deploying scalable AI solutions in a hands-on engineering capacity, covering the entire lifecycle from data pipelines to deployment.

The ideal candidate will have 5+ years in software development and 3+ years in AI and ML, alongside a foundation in Python and modern ML frameworks.

The position offers a competitive salary between $120K and $140K and long-term remote flexibility after an initial onsite period.

Qualifications

• 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.

Responsibilities

• Design, build, and deploy AI/ML models to solve complex business challenges.
• Deploy AI solutions into production environments using cloud platforms (AWS, Azure, or GCP).
• Architect scalable AI systems aligned to business needs.

Skills

AI Model Development

Python

Machine Learning

Cloud Platforms

Data Pipelines

Problem Solving

Tools

TensorFlow

PyTorch

SQL

Job description

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 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

Company

LHH