Supports the development and deployment of Artificial Intelligence and Machine Learning solutions
Builds, tests, and deploys components of AI/ML models and applications
Implements components of MLOps workflows including data pipelines, packaging, versioning, monitoring, and model retraining
Collaborates with IT and data teams to ensure AI solutions follow security, integration, and performance requirements.
Breaks down requirements into well-defined technical tasks and contributes implementation-level input during design reviews.

Requirements

Bachelor’s degree in Computer Science, Data Science, or related field
2 or more years of professional experience in Machine Learning, AI Engineering, or related fields.
Experience developing AI/ML solutions and supporting deployment to cloud environments (Azure preferred), working within established engineering and security standards.
Proficiency with Python, APIs, and modern ML frameworks (e.g., Scikit-learn, XGBoost, Langchain, Tensorflow, LlamaIndex, etc.)
Understanding of data engineering concepts, cloud services, and enterprise integration patterns.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningArtificial IntelligenceMLOpsdata pipelinespackagingversioningmonitoringmodel retrainingPythonAPIs

Soft Skills

collaborationcommunicationproblem-solvingtechnical task breakdowndesign review contribution