Remote AI Engineer — Deploy ML Models & MLOps

Apex Systems; Fort Lauderdale (FL); On-site; USD 85,239 - 121,401; Full time

Benefits offered by this job

Medical, dental, vision insurance

Employee stock purchase program

401K with company match

Health Savings Account

Employee Assistance Program (EAP)

Job summary

Apex Systems is seeking an experienced AI Engineer to work remotely. This hands-on role involves developing, training, and deploying machine learning models across various use cases.

The ideal candidate will have at least 3 years of experience in machine learning, strong proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch. Benefits include comprehensive insurance, a 401K plan, and professional development opportunities.

Qualifications

• 3+ years of experience in machine learning or AI engineering.
• Experience deploying ML models into production environments.
• Proficiency in Python and ML frameworks.

Responsibilities

• Develop, train, evaluate, and deploy ML/AI models.
• Build and maintain data pipelines and feature engineering workflows.
• Monitor model performance and implement retraining workflows.

Skills

Python

Machine Learning Frameworks (PyTorch, TensorFlow)

Data Pipeline Tools (Spark, Airflow)

SQL

Cloud Platforms (AWS, Azure)

Containerized Deployment (Docker, Kubernetes)

Education

Bachelor’s or master’s degree in Computer Science, Machine Learning, Data Science

Tools

MLflow

Kubeflow

Weights & Biases

Job description

Apex Systems is seeking an experienced AI Engineer to work remotely. This hands-on role involves developing, training, and deploying machine learning models across various use cases.

The ideal candidate will have at least 3 years of experience in machine learning, strong proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch. Benefits include comprehensive insurance, a 401K plan, and professional development opportunities.