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HERE Technologies

ML & AI Engineer II

Reposted 4 Hours Ago
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Hybrid
Navi Mumbai, Thane, Maharashtra
Mid level
Hybrid
Navi Mumbai, Thane, Maharashtra
Mid level
Design, develop, and deploy production-grade machine learning and generative AI solutions. Build scalable data pipelines and AI services, implement model monitoring and governance, collaborate with product and engineering teams, and operationalize LLM and agentic AI systems for enterprise use.
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What's the role?
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.
Who are you?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 Do We Offer?


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 an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, or disability.

Who are we?

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.



About the Team:

You will join a collaborative AI and Machine Learning team focused on delivering scalable, production-ready intelligent solutions that create measurable business impact. The team partners closely with Product, Engineering, and Data Operations teams to transform advanced analytics, machine learning, and generative AI capabilities into real-world applications. We encourage continuous learning, innovation, knowledge sharing, and experimentation while maintaining strong engineering and governance standards.

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