Endpoint Automation & System Engineer developing automation frameworks for modern endpoint platforms at Heidelberg Materials. Collaborating on high - impact engineering projects with a focus on modernizing workplace ecosystems.
About the role
- AI Systems Engineer developing AI solutions for TSC’s clients in various sectors. Collaborating with stakeholders to enhance business efficiency through AI technologies.
Responsibilities
- Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products
- Help select and deploy AI models into production; implement and deploy secure AI pipelines
- Create/manage APIs and help business customers put results of AI models into operations
- Develop and/or incorporate AI training content for a variety of stakeholders
- Evaluate business use cases and help determine best path forward with regard to application of AI
- Provide guidance and support for implementing security and access controls to ensure proper protection of data
- Work within established compliance and infrastructure constraints
- Collaborate with IT systems, cybersecurity, and enterprise business teams
- Provide system administrative support over AI solutions used in the business
- Understanding and experience with applying AI related NIST standards and best practices
- Keep current of latest AI research relevant to the business domain
- Research improvements to machine-learning algorithms
Requirements
- Bachelor’s degree in computer science, engineering, or a related technical field
- 2-4 years of experience in software engineering, machine learning engineering, or AI infrastructure roles (equivalent years of experience in lieu of degree possible)
- US Citizenship with the ability to obtain and maintain a US security clearance
- Experience deploying services using containerized or virtualized environments
- Experience with cloud-native AI services (e.g., managed training or inference services)
- Knowledge of AI / ML development (natural language processing / NLP, deep learning, computer vision, etc.)
- Python
- Knowledge of C++, Java, Go / Golang, Scala, or other similar programming language
- Familiarity with applying NIST AI Risk Management Frameworks and in the security governance of Generative AI
- Understanding of federal data protection standards and regulatory frameworks
Benefits
- ESOP participation
- 401K Plan
- Flexible Work Schedules
- Tuition Reimbursement
- Co-Sponsored Health Plan
- Paid Leave
- and much more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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