ML & AI Engineer II

Role Overview

As an AI ML Engineer, you will help design, build, and operationalize machine learning and generative AI solutions that drive business impact. Working closely with cross-functional stakeholders, you will contribute to the development of scalable models, data pipelines, and intelligent applications that support HERE’s products and services.

Responsibilities

• Design, develop, and deploy machine learning models across use cases such as classification, forecasting, NLP, and Generative AI.
• Build scalable data pipelines and integrate AI-powered solutions into production environments.
• Collaborate with Data Operations, Product, and Engineering teams to translate business challenges into practical AI solutions.
• Improve model performance, scalability, and reliability through continuous optimization and experimentation.
• Support model monitoring, governance, and lifecycle management to ensure sustainable and responsible AI deployment.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, with at least 2 years of relevant industry experience.
• Strong programming skills in Python and SQL.
• Experience developing and deploying machine learning applications, including large-scale or API-driven solutions.
• Practical experience implementing Generative AI and Agentic AI solutions within enterprise environments.
• Knowledge of data engineering concepts and experience working with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with Deep Learning, Computer Vision, and modern AI techniques.

Skills

• Python
• SQL
• Generative AI
• Azure
• Machine Learning

Benefits

• Opportunity to work in a cutting-edge technology environment.
• Support for personal development and skill achievement.
• Access to an online Learning Campus and cross-functional team projects via the Talent Platform.