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ML & AI Engineer

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Machine Learning EngineerData
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Quick Summary

Key Responsibilities

As a Machine Learning / AI Engineer, you will design, develop, and deploy advanced machine learning solutions that support innovation across products and business functions.

Requirements Summary

Mandatory skills : Gen AI, Python You are a solution-oriented professional who enjoys solving complex problems and building scalable AI-powered applications.

Technical Tools
Machine Learning EngineerData

Responsibilities

~1 min read

 

As a Machine Learning / AI Engineer, you will design, develop, and deploy advanced machine learning solutions that support innovation across products and business functions. You will work across the AI lifecycle—from model development and deployment to monitoring and optimization—while collaborating with cross-functional teams to operationalize AI-powered use cases. You will:
  • →Design, build, and deploy machine learning models for use cases including classification, forecasting, natural language processing, and generative AI.
  • →Develop scalable data pipelines and production-grade AI services.
  • →Collaborate with Product, Engineering, and Data Operations teams to translate business needs into AI solutions.
  • →Continuously enhance model performance, reliability, scalability, and efficiency.
  • →Implement model monitoring, governance, and lifecycle management best practices.
  • →Support the deployment of AI and Agentic AI solutions in enterprise environments.
  • →Contribute to the adoption of responsible AI and production-ready machine learning standards.

Requirements

~1 min read

 

You are a solution-oriented professional who enjoys solving complex problems and building scalable AI-powered applications. You combine strong machine learning expertise with software engineering and collaboration skills to deliver impactful solutions in a fast-paced environment.Ideally, you bring:
  • A bachelor's degree specialized in Machine Learning, Artificial Intelligence, Data Science, or a related field.
  • Experience developing and deploying machine learning solutions using Python and SQL.
  • Knowledge of modern machine learning frameworks and production deployment practices.
  • Experience working with large-scale AI systems, LLM-based applications, APIs, and enterprise integrations.
  • Familiarity with Generative AI and Agentic AI solution development.
  • Understanding of data engineering concepts and cloud platforms such as Azure, AWS, or GCP.
  • Experience applying deep learning and computer vision techniques to practical business challenges.
  • Strong communication and collaboration skills with cross-functional stakeholders.

 

What We Offer

~1 min read

 

At HERE, we are committed to creating an inclusive and engaging work environment where you can grow and thrive.

✓Opportunities to work on cutting-edge AI and data-driven solutions
✓A collaborative and diverse global team environment
✓Continuous learning, development, and career growth opportunities
✓Flexible and hybrid work arrangements that support work-life balance
✓A culture that values innovation, inclusion, and impact

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.

 

Location & Eligibility

Where is the job
—
Location terms not specified

Listing Details

Posted
October 12, 2026
First seen
October 12, 2026
Last seen
October 13, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
55%
Scored at
October 13, 2026

Signal breakdown

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ML & AI Engineer