AI/ML Engineer — Build Production ML Models & Pipelines

Latitude; Boston, Northern (MA, KY); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement benefits

Paid time off and holidays

Professional development opportunities

Flexible or hybrid work arrangements

Innovative AI projects

Job summary

Latitude is seeking an AI/ML Engineer to design, develop, train, and deploy ML models. The ideal candidate has strong Python development skills and hands-on experience with ML frameworks.

You'll build scalable ML pipelines, work with PyTorch/TensorFlow, and collaborate across teams to productionize models. The role offers flexible or hybrid work arrangements and opportunities to work on cutting-edge AI products.

Qualifications

• 2–7 years of experience in AI/ML or ML engineering.
• Strong Python programming skills.
• Hands-on PyTorch or TensorFlow experience.
• Experience building, evaluating, and deploying ML models.
• Knowledge of data preprocessing and feature engineering.
• Excellent analytical and communication skills.

Responsibilities

• Design, develop, train, and optimize ML models.
• Build scalable ML pipelines for data prep, training, evaluation, deployment.
• Develop production-ready AI applications using Python.
• Work with PyTorch and TensorFlow to optimize models.
• Collaborate with engineers, data scientists, product managers, and other stakeholders.
• Research emerging AI/ML tech and integration opportunities.
• Maintain documentation, tests, and engineering standards.

Skills

Python

PyTorch

TensorFlow

Generative AI

NLP

Computer Vision

Cloud Platforms

Docker

Kubernetes

CI/CD

MLOps

REST APIs

SQL

Tools

Docker

Kubernetes

CI/CD

ML Pipelines

Job description

Latitude is seeking an AI/ML Engineer to design, develop, train, and deploy ML models. The ideal candidate has strong Python development skills and hands-on experience with ML frameworks.

You'll build scalable ML pipelines, work with PyTorch/TensorFlow, and collaborate across teams to productionize models. The role offers flexible or hybrid work arrangements and opportunities to work on cutting-edge AI products.