Senior MLOps Engineer into AI Practice
Пълно описание
Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future!
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.
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.
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:
- 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 field
- Cooperating on presales and upsales with rest of the team
- Participating in public speaking events
- Master or higher degree in Computer Science, Engineering, or a related field.
- 5+ 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.
- Experience of deploying llm models on premise
- Experience with data science projects
- Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom
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.