As a Senior Data Scientist at Mindworx, you'll focus on developing and maintaining machine learning pipelines. This role is ideal for someone passionate about AI and MLOps, eager to stay updated with the latest technologies.
Mindworx is looking for a Senior Data Scientist who specializes in machine learning engineering. In this role, you will be responsible for developing and maintaining reusable machine learning pipelines. Your work will be guided by MLOps principles, ensuring that the processes are efficient and scalable. You will collaborate closely with your team to share knowledge and best practices, fostering a culture of continuous improvement.
Your day-to-day responsibilities will include implementing CI/CD practices, conducting automated testing, and setting up monitoring systems for the ML pipelines. Staying current with advancements in AI, GenAI, and cloud technologies will be crucial, as these areas are rapidly evolving and impact your work significantly.
This position is well-suited for someone with a strong background in machine learning and a passion for operational excellence. You should be comfortable working with tools like Databricks and Kubernetes, as well as have a solid understanding of cloud technologies. If you thrive in a dynamic environment and enjoy tackling complex problems, this role could be a great fit for you.
Key requirements for this position include a deep understanding of MLOps, experience with CI/CD, and proficiency in automated testing and monitoring. Familiarity with AI and GenAI will be advantageous, but the core focus will be on developing robust ML pipelines that can be reused across various projects.
You'll be taken to the original listing on CareerJet to apply.