(1071) Senior Machine Learning Ops Engineer

Explore the Nearsure experience! 

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. 

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. 

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. 

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. 

Ready to grow with us? 🚀 
 
Here’s what we offer you by joining us! 
 
✨ Competitive USD salary 💲 – We value your skills and contributions! 

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!  

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!  

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. 

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. 

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! 

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community. 

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! 
 
 
About the project 
 
As a Senior Machine Learning Ops Engineer, you will design and build large-scale architectures, workflows, tools, and automation for processing data and apply machine learning engineering to solve global business challenges with a focus on making tasks easier for data scientists. 
 
 
How your day-to-day work will look like 
 
✅ Architect and develop end-to-end machine learning solutions. 
✅ Manage and automate the machine learning lifecycle. 
✅ Collaborate with data engineers and data scientists to create highly scalable solutions. 
✅ Work on cloud solutions, evaluating the performance and cost of potential architectures. 
✅ Understand the software development life cycle to collaborate and integrate solutions with other technical areas. 
✅ Interact with other teams to understand business challenges and propose solutions. 
✅ Communicate and teach on how to use the developments. 
 
This would make you the ideal candidate 
 
✨ Bachelor's Degree in Computer Science, Engineering, or a related field.  
✨ 5+ Years of experience implementing and deploying machine learning solutions<