Lead ML/MLOps Engineer- Hybrid / Remote

Czechia

HERE Technologies

HERE is a PaaS for building, deploying and scaling location solutions. Create custom maps, visualize location datasets, gather insights and buy and sell location assets.

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What's the role?

Team: The Product Trust team is looking for a ML/MLOps Engineer to help streamline our state-of-the-art tools and processes for helping developer achieve compliance. You will play a key role in automating these processes my building, testing and deploying ML models. The Product Trust team is responsible to address Privacy, Security, and licensing compliance from the earliest stages of the product development lifecycle. As a member of this team, you will become the subject matter expert for ML-based process automation, but you can also expand into the licensing, privacy and security domains. You will work with a global team to build and deploy ML models, drive improvement to compliance, and inform best practices for development teams.

 

Main responsibilities:

  • Build ML and GenAI models to power processes automation for license review and compliance processes, reducing manual effort of teams across the company.

  • Ensure smooth operations of our process by ensuring quality and availability of ML-based automation.
  • Work with teams to design the process automation and build the datasets needed for training and testing the models.

Technologies We Use:

  • Languages: JavaScript, Bash, Python and Kotlin.
  • CI/CD: GitLab CI/CD pipelines for building and deploying infrastructure.
  • Cloud & Monitoring: AWS, Splunk.
  • Version Control: Git.

Who are you?

  • Proven experience in a ML Engineer or MLOps Engineer role, building, deploying and optimising ML pipelines in production.
  • Experience training, testing and optimising ML and GenAI models
  • Knowledge of Prompt Engineering techniques and frameworks
  • Interest and propensity for learning about new fields, technologies, tools.
  • Good understanding of agile development practices, product release process.
  • Advanced knowledge of Python
  • Excellent English communication, both verbal and written.

Would be a plus

  • Experience working with CI/CD environments such as GitLab, containerized environments such as Docker, shell scripting.
  • Experience contributing to Open Source projects and engaging in the OSS community
  • Experience developing automation using GitLab APIs is an advantage.
  • Knowledge of Kotlin is an advantage
  • Interest in the Security & Privacy space.

What Do We Offer?

  • Work on the development of high scale services, serving and storing petabytes of data
  • Work with cutting edge, modern technologies
  • A great work-life balance
  • Flexible working hours
  • Competitive salary plus bonus
  • Fantastic & talented people from 60+ countries worldwide

Change is HERE. Apply Now!

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.

 

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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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs AWS CI/CD Docker Engineering Generative AI Git GitLab JavaScript Machine Learning ML models MLOps Open Source Pipelines Privacy Prompt engineering Python Security Shell scripting Splunk Testing

Perks/benefits: Competitive pay Flex hours

Regions: Remote/Anywhere Europe
Country: Czechia

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