25 липня 2024
Senior MLOps Engineer віддалено Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to shape the future of driving. Join the team and co-create digital products for the world’s top-tier brands. What project we have for you We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will
25 липня 2024
Senior MLOps Engineer
віддалено
Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to shape the future of driving. Join the team and co-create digital products for the world’s top-tier brands.
What project we have for you
We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production.
What you will do
- Support to Head of AI on MLOps service offering from business point of view — managing related proposals, cooperation with marketing team and other business-oriented tasks involving MLOps.
- Execution and guidance of technical POCs and projects.
- Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the fiel.
What you need for this
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- 3+ years of professional experience in MLOps, machine learning engineering, or a similar role.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
- Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
- Experience with cloud platforms, containerization technologies and automated testing and monitoring of machine learning models.
Nice to have:
- Experience of deploying llm models on premise.
- Experience with data science projects.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. We’re dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
At Intellias, we are committed to being an equal opportunity employer, fostering equity, diversity, and inclusion. We welcome and celebrate the differences of all qualified applicants. Join Intellias for a career where your unique perspectives are not only valued but crucial to our success.