Design, develop, and deploy ML models (classification, forecasting, NLP, LLMs); build scalable data pipelines; integrate AI into production; collaborate with Data Ops, Product, and Engineering; improve model performance and scalability; and implement model monitoring, governance, and lifecycle management.
What's the role?
Key Responsibilities:
§ Design, develop, and deploy ML models (classification, forecasting, NLP, etc.)
§ Build scalable data pipelines and integrate AI solutions into production systems
§ Collaborate with Data Ops, Product, and Engineering teams to operationalize use cases
§ Enhance existing models for performance, accuracy, and scalability
§ Ensure model monitoring, governance, and lifecycle management
Who are you?
As a Machine Learning / AI Engineer, you will design, develop, and deploy advanced machine learning solutions that drive innovation and business impact.
You will:
Who Are You?
You are a solution-oriented professional with strong technical expertise and a passion for building scalable AI systems. You bring a balance of machine learning knowledge, data engineering capabilities, and collaboration skills to deliver high-impact solutions.
You have:
What Do We Offer?
At HERE, we are committed to creating an inclusive and engaging work environment where you can grow and thrive.
We offer:
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?
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.
About the Team:
You will be part of a collaborative, cross-functional team working closely with Data Operations, Product, and Engineering to deliver scalable AI and machine learning solutions that power real-world applications.
Key Responsibilities:
§ Design, develop, and deploy ML models (classification, forecasting, NLP, etc.)
§ Build scalable data pipelines and integrate AI solutions into production systems
§ Collaborate with Data Ops, Product, and Engineering teams to operationalize use cases
§ Enhance existing models for performance, accuracy, and scalability
§ Ensure model monitoring, governance, and lifecycle management
Who are you?
As a Machine Learning / AI Engineer, you will design, develop, and deploy advanced machine learning solutions that drive innovation and business impact.
You will:
- Design, build, and deploy machine learning models across use cases such as classification, forecasting, and natural language processing
- Develop scalable data pipelines and integrate AI solutions into production environments
- Collaborate with cross-functional teams including Data Operations, Product, and Engineering to operationalize AI-driven use cases
- Continuously improve existing models to enhance performance, accuracy, and scalability
- Ensure model monitoring, governance, and lifecycle management practices are implemented effectively
Who Are You?
You are a solution-oriented professional with strong technical expertise and a passion for building scalable AI systems. You bring a balance of machine learning knowledge, data engineering capabilities, and collaboration skills to deliver high-impact solutions.
You have:
- Strong programming skills in Python and SQL, along with experience in machine learning frameworks
- Experience working with large-scale deployments, including LLM-based solutions and API integrations
- Hands-on experience in developing and implementing Generative AI / Agentic AI solutions in enterprise environments
- Solid understanding of data engineering concepts and experience working with cloud platforms such as Azure, AWS, or GCP
- Knowledge of deep learning and computer vision techniques, with the ability to apply them to practical use cases
- Bachelor's degree with min. 4 years experience
What Do We Offer?
At HERE, we are committed to creating an inclusive and engaging work environment where you can grow and thrive.
We offer:
- 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?
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.
About the Team:
You will be part of a collaborative, cross-functional team working closely with Data Operations, Product, and Engineering to deliver scalable AI and machine learning solutions that power real-world applications.
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

