Machine Learning Operations Lead
hace 20 horas
**About the Role**
We are seeking a highly skilled Machine Learning Operations Lead to join our team at TomTom. As a key member of our Maps organization, you will be responsible for leading and managing the MLOps team, fostering a collaborative and performance-driven environment.
Key Responsibilities:
- Develop and implement strategies for scalable and efficient machine learning model development and deployment.
- Oversee the end-to-end machine learning lifecycle, including data preparation, model training, validation, deployment, and monitoring.
- Collaborate with cross-functional teams (Applied Scientists, Data Scientists, Software Engineers, Product Managers) to integrate ML models into products and services.
- Ensure adherence to best practices in ML model governance, security, and compliance.
- Drive continuous improvement in MLOps processes and tools, leveraging the latest advancements in technology.
- Provide technical guidance and mentorship to team members.
- Manage the budget, resources, and timelines for MLOps projects.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years experience in a similar role, with a focus on machine learning, data science, or software engineering.
- Proven experience in managing and scaling ML models in production environments.
- Strong knowledge of ML frameworks and cloud platforms (Azure, AWS).
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Familiarity with MLOps tools and practices (CI/CD, monitoring, logging).
- Excellent leadership and team management skills.
- Strong problem-solving and analytical abilities.
- Excellent communication and interpersonal skills.
About TomTom
TomTom is a global company that has revolutionized navigation since 2004. We aim to engineer the world's most trusted and useful map. Our team of 3,700 unique, curious, and passionate problem-solvers work together to achieve this goal. We offer a competitive salary of $125,000 - $175,000 per year, depending on location and experience.
Benefits:
- A competitive compensation package.
- Time and resources to grow and develop, including a personal development budget and paid leave for learning days.
- Paid access to e-learning resources such as O'Reilly and LinkedIn Learning.
- Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
- Work from home, the office, or even abroad – each team has the flexibility to choose how they work based on business needs.
- Improve your home office with a setup budget and get extra support with a monthly allowance.
- Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we're mapping.
- Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
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