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Data & AI Engineer

AI Engineer Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build data and AI capabilities that help enterprise teams make better decisions and automate complex work. The role spans data pipelines, machine learning, and intelligent applications, with responsibility for integrating solutions into business platforms and operating them with attention to reliability, security, and data quality.

Responsibilities - Create and maintain scalable pipelines that collect, clean, transform, and organize data from varied sources. - Integrate data products, models, and AI applications with enterprise and business systems through APIs and other connections. - Train, evaluate, deploy, and support machine learning models for business use cases. - Develop intelligent tools such as chatbots, autonomous agents, and workflow automation applications. - Apply data quality, security, governance, and compliance practices across projects. - Document systems and processes, share technical knowledge, and work with cross-functional teams to deliver complete solutions.

Requirements - Bachelor's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience. - At least three years of hands-on experience in data engineering, machine learning engineering, or AI solution development. - Strong Python and SQL skills, with experience building and maintaining data pipelines using modern tools. - Experience with a cloud data platform and at least one major cloud provider. - Practical knowledge of machine learning model training, evaluation, and deployment, plus exposure to MLOps such as packaging, CI/CD, or monitoring. - Experience integrating data or AI solutions with business applications, using APIs, and supporting intelligent applications; knowledge of data quality, security, and compliance practices.

Nice to have A relevant master's degree; advanced work in scalable data architectures, ETL frameworks, or production machine learning; experience with agentic AI, data governance, Docker, vector databases, semantic search, or feature stores.

Skills detected in the listing

PythonSQLSnowflakedbtApache AirflowData WarehousingData EngineeringAWSGCPAzureDockerMachine Learning
Detected Nov 11, 2026
Last verified Nov 12, 2026

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