How do I apply for the Director ML AI Engineer (CV, ML ops) job at HERE Technologies?

Use the apply link on this page: you apply directly with HERE Technologies on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does HERE Technologies want for this Director ML AI Engineer (CV, ML ops) role?

The job description asks for Python, C++, Linux, deep learning frameworks, PyTorch, TensorFlow, MxNet and ONNX. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at HERE Technologies?

Apply to the HERE Technologies roles that match your experience, and tailor your resume to each job description: for this role that means showing Python, C++, Linux. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Director ML AI Engineer (CV, ML ops) job remote or onsite?

This is based in Mumbai Metropolitan Region.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with HERE Technologies, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Director ML AI Engineer (CV, ML ops)

HERE Technologies

Mumbai Metropolitan Region

Whats the role?

As Director, AI/ML Engineering, you will shape the technical vision and delivery of AI-powered capabilities across HERE’s mapmaking ecosystem. You will guide strategy, develop scalable platforms, support responsible AI practices, and help teams translate business needs into practical solutions and measurable outcomes.

In this role, you will:

Define and execute the AI/ML strategy, technical vision, and roadmap, identifying high-impact opportunities across machine learning, generative AI, automation, computer vision, large language models, agentic AI, and advanced analytics.
Lead the design, development, deployment, and operation of scalable AI/ML products and platforms that support map editing and mapmaking workflows.
Establish engineering practices for MLOps, model governance, testing, observability, security, and responsible AI, while supporting reliability, performance, scalability, and maintainability.
Guide and mentor data scientists and engineering teams through coaching, workshops, technical discussions, and shared learning opportunities.
Evaluate emerging technologies, tools, platforms, and potential strategic partnerships that can advance HERE’s AI/ML capabilities.
Lead multidisciplinary initiatives, translate business needs into practical AI/ML solutions, and collaborate with management, customers, and vendors to support informed decisions and measurable results.
Contribute technical insight to product and organizational strategies while representing HERE’s AI/ML capabilities with internal and external stakeholders.

Who Are you?

You bring a structured, collaborative approach to solving complex technical problems and a strong interest in using AI and engineering to improve productivity while preserving data quality and integrity

BS or MS degree in Computer Science, Statistics, or similar field.
15 to 20 years of industry working experience with expertise in data science and analytic methods such as regression, classifiers, clustering, association rules, Bayesian statistics, etc. - multiple areas
Proficiency in Python and/or C++, preferably on Linux.
Experience working with deep learning frameworks like PyTorch, TensorFlow, MxNet, ONNX, and Caffe.
Proven track record of successfully leading projects.
Strong mentoring and coaching skills with a demonstrated history of developing junior and mid-level data scientists.
Strong negotiation skills, with a history of influencing senior management and external partners.
Exceptional communication skills with the ability to convey complex topics in a clear and engaging manner.

What Do We Offer?

At HERE, you will have the opportunity to:

Shape AI/ML capabilities that contribute directly to the evolution of HERE’s mapmaking products and services.
Work on complex technical challenges involving machine learning, generative AI, computer vision, automation, and large-scale engineering platforms.
Collaborate with multidisciplinary teams, customers, partners, and technical specialists.
Support an environment that values knowledge sharing, professional development, and continuous learning.
Contribute to technology that helps improve how people, businesses, and cities navigate and manage the world.

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.

Score my resume against this job, free →