We’re looking for a hands-on ML/AI Operations Specialist, who can act as a thought leader to help us design, build, and scale the data and model infrastructure that powers high-impact decisions across our Global Bid Management team.

In this role, you won’t just manage datasets. You’ll build the backbone of our AI and ML systems, ensure seamless deployment and monitoring of models, and create scalable data pipelines that connect insights to action. You’ll create production-ready AI systems that drive real-world outcomes.

If you're excited about bringing operational rigor to machine learning systems and unlocking the full value of enterprise data, we want to hear from you.

What You'll Do

• Design and deploy ML/AI infrastructure – Build pipelines for data ingestion, model training, testing, deployment, and monitoring.
• Operationalize machine learning – Take models from notebooks to production with performance, reliability, and governance in mind.
• Modernize our data architecture – Own the infrastructure that transforms raw data into real-time insights, ready for both analytics and ML use cases.
• Drive ML initiatives – Work across teams to define, implement, and optimize ML-enabled workflows.
• Ensure reproducibility and scalability – Implement ML-Ops best practices for versioning, automation, and environment consistency.
• Optimize processes using ML – Use machine learning to streamline key business operations and remove bottlenecks.

Technical Skills

• 5+ years in ML engineering or AI operations roles
• Proficient in Python and SQL; experience with ML frameworks and AI architecture patterns (eg. RAG)
• Experience using and building with AWS Bedrock, Vector Databases, Agentic Applications and ML-Ops tools
• Strong understanding of cloud platforms

Operational & Soft Skills

• Track record of deploying and maintaining production-grade ML systems
• Strong problem-solving mindset with a bias toward action
• Ability to articulate concepts with both technical and non-technical stakeholders
• Ability to lead projects from design to execution

Preferred Qualifications

• Previous experience supporting sales, operations, or enterprise SaaS business models with AI/ML models
  
  

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. - #LI-MS1 

As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. This offer and any related claims are subject to the successful completion of a background verification.  

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.