AI Engineer

Job Summary

Working remotely on a contract-to-permanent basis, an AI Engineer will develop, train, evaluate, and deploy machine learning models while managing data pipelines and collaborating with internal teams to create effective AI solutions.

Key responsibilities

• Develop and deploy ML/AI models for various applications, including NLP and generative AI
• Build and maintain data pipelines and feature engineering workflows for production models
• Contribute to MLOps practices, including model versioning and automated deployment

Required qualifications

• At least 2+ years of experience in machine learning, AI engineering, or applied data science
• Proven experience deploying ML models in production environments
• Strong proficiency in Python and ML frameworks such as PyTorch and TensorFlow
• Experience with data pipeline tools/frameworks like Spark and Airflow
• Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes)