Senior Python Engineer (AI/ML)

TL;DR

Senior Python Engineer (AI/ML): Design, develop, and deploy machine learning solutions that transform data into actionable insights with an accent on scalability, performance, and integration into production systems. Focus on building and operationalizing ML models, end-to-end data workflows, and embedding AI capabilities into application ecosystems.

Location: Hybrid role requiring 3 days onsite in Fort Lauderdale, FL / 2 days remote. Must reside in Florida, US. Authorized to work for any US employer; no visa sponsorship. Candidates outside FL not eligible.

Salary: $45-50k USD

Company

hirify.global specializes in the middle layer of business technology, connecting applications, systems, infrastructure to business processes with expertise in cloud architecture, system integration, AI, and data strategy.

What you will do

• Develop and maintain ML models using Python with regression, classification, clustering, and ensemble methods
• Design and deploy scalable AI/ML solutions with deep learning frameworks like TensorFlow, PyTorch, Keras
• Perform data preparation: cleansing, transformation, feature engineering
• Evaluate and iterate models for better performance and reliability
• Build and integrate RESTful APIs (Flask, FastAPI) for model consumption
• Collaborate with engineering and data teams to productionize ML solutions

Requirements

• 6-8+ years in Python development and AI/ML
• Strong Python proficiency and data science libraries: NumPy, Pandas, Scikit-learn
• Hands-on ML and deep learning models in production applications
• Data engineering: preprocessing, feature engineering, model evaluation
• SQL or NoSQL databases
• Version control (Git) and collaborative practices

Nice to have

• Deploying models to production
• Scalable ML pipelines and MLOps
• Cloud AI/ML services (AWS, Azure, GCP)

Culture & Benefits

• Comprehensive benefits: medical, dental, vision, 401(k), paid time off
• Discretionary bonuses, commissions, incentive programs
• Pay equity and transparency based on experience, skills, location
• Equal opportunity employer