
MLOps Engineer
- Eindhoven, Noord-Brabant
- € 6.000-7.500 per maand
- Vast
- Voltijds
- 1 dagen geleden geplaatst
- Vacature nummer: V-20049128
- Design, develop, and deploy machine learning models and algorithms to solve complex business problems.
- Deploy machine learning models into production environments, ensuring they are scalable, traceable and maintainable. This may involve using cloud services or on-premise solutions.
- Collaborate with data scientists, data engineers, software developers, and business stakeholders to understand requirements and deliver ML-driven solutions.
- Conduct data preprocessing, feature engineering, model development, model evaluation, and monitoring to ensure high-quality ML solutions.
- Stay up-to-date with the latest trends and technologies in machine learning and implement them as needed.
- Participate in code reviews, testing, and documentation to ensure high-quality deliverables.
- Improve, monitor and maintain deployed ML models to ensure they continue to meet performance, reliability and accuracy requirements.
- Contribute to the development of best practices and standards for machine learning within the organization, by developing CI/CD templates and standardized frameworks and the creation of guidelines and processes for Data Science teams to use MLOps capabilities.
- Develop and implement containerization strategies for machine learning applications using tools such as Docker and Kubernetes
- Challenging assignments where you can make an impact and fully leverage your technical expertise.
- Personal guidance from both your consultant and the YER back office, ensuring you always have the right support.
- Growth and development opportunities, including participation in the YER Talent Development Programme with your own dedicated coach.
- International support such as Dutch language lessons, assistance with taxes, and housing guidance-helping you feel at home quickly.
- An open and collaborative culture focused on teamwork, results, and knowledge sharing.
- Networking opportunities with other tech professionals from leading multinationals.
- Inspiring events and masterclasses featuring renowned speakers and top companies.
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- 5+ years of experience in machine learning, data science, or a related field.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Proficiency in programming languages such as Python. • Experience with Azure cloud platform is a must; knowledge of GCP is preferred.
- Knowledge of MLOps, data preprocessing, feature engineering, model evaluation, testing, and CICD techniques.
- Experience with deploying and maintaining ML models in production environments.
- Familiarity with industry-related standards and regulations e.g., GDPR, ISO 27000, etc. is a plus.
- Mentor junior team members and continuously improve the AI services and the overall competence.
- A strong passion for machine learning and its applications in solving real-world problems.
- A customer-centric and value-driven mindset and approach to developing ML solutions.
- Strong analytical and problem-solving skills and the ability to make datadriven decisions.
- Excellent collaboration and communication skills and the ability to work effectively with different stakeholders and teams.
- Strong knowledge of machine learning algorithms, techniques, and best practices.
- Understanding of data architecture and data modeling concepts.
- Familiarity with agile and scrum methodologies and best practices.
- Strong familiarity with software engineering practices and Python as preferred programming language.
- Ability to drive automation for improved efficiency and scalability