AI​/ML Engineer, EB Applied AI and Analytics

Responsibilities

• Design, build, and maintain AI components and data pipelines that support applied AI use cases.
• Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference.
• Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices.
• Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs.
• Support deployment, monitoring, and maintenance of AI services and workflows in production environments.
• Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability.
• Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases.
• Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise.

• 3–6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering.
• Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related discipline.
• Working experience with Python and SQL.
• Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines.
• Exposure to deploying applications or data workflows in AWS, Azure, or GCP.
• Ability to work effectively within defined architectural, security, and engineering environments.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week. Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The annualized base pay range for this role is: $100,960 - $151,440.

Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age