ML Ops Engineer
Catalyst Dev · Brazil
- Type: gig
- Location: country — Austria
- Compensation: PLN 145733–204397
- Timezone: UTC+12
About the role
About the Role
We are looking for a talented ML Ops Engineer.
Requirements
- Django - Scala - TensorFlow - DevOps - REST API - Power BI - 5+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do
As an ML Ops Engineer, you will be instrumental in building and maintaining robust machine learning pipelines. You will deploy and manage TensorFlow models, ensuring their scalability and reliability through expert application of DevOps principles. Your work will involve developing and integrating REST APIs for seamless model serving and collaborating on data visualization using Power BI, all while potentially leveraging Django for internal tools and Scala for backend services.
Why Join Us
Join a dynamic, forward-thinking team where innovation is paramount and your contributions directly impact our ML product development lifecycle. We foster a collaborative and supportive environment that encourages continuous learning and professional growth, offering exciting opportunities to work with cutting-edge technologies and solve complex real-world problems remotely. This is your chance to shape the future of our AI initiatives.
Who You Are
You are a proactive problem-solver with a keen eye for detail and a passion for operationalizing machine learning. Your experience with Django, Scala, TensorFlow, and robust DevOps practices makes you an ideal candidate to bridge the gap between data science and production systems. You possess excellent communication skills to effectively collaborate with diverse teams and are adept at translating complex technical concepts into actionable insights, especially when visualizing data with Power BI.
Required skills
- Django
- Scala
- TensorFlow
- DevOps
- REST API
- Power BI
About Catalyst Dev
Next-generation cybersecurity solutions for modern teams.