Machine Learning Ops Engineer

Machine Learning Ops Engineer - Work from homeMachine Learning Ops Engineer - Work from home

1 day ago Be among the first 25 applicants

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.

5+ Years of advanced Python programming experience.

3+ Years of experience working with SQL and Spark.

3+ Years of experience working in cloud environments (AWS or GCP).

Knowledge and hands-on experience with containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes).

Experience with version control systems, preferably Git.

Experience with workflow orchestration tools like Airflow.

Knowledge of data architectures and systems integration.

Ability to troubleshoot and solve complex software system issues.

Experience automating machine learning lifecycles and managing end-to-end ML solutions.

Experience with scripting in Bash or similar shell environments.

Familiarity with FastAPI or similar web frameworks for serving ML models.

Experience with AWS SageMaker Studio and infrastructure-as-code tools such as CloudFormation.

Understanding of software development life cycle (SDLC) and ability to integrate ML solutions with other technical teams.

Strong communication skills with the ability to teach and explain technical solutions to different stakeholders.

Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1. Let's chat about your experience

2. Impress our recruiters, and you'll move on to a technical interview with our top developers.

3. Nail that, and you'll meet our client - your final step to joining our amazing team

At Nearsure, we're dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let's work together to shape the future of technology

By applying to this position, you authorize Nearsure to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy. (https://www.nearsure.com/privacy-policy)

Seniority level

• Seniority levelNot Applicable

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesSoftware Development

Referrals increase your chances of interviewing at Nearsure by 2x

Sign in to set job alerts for "Machine Learning Engineer" roles.BE2 Software Engineer (Python) (USD Salary & Full-time)Freelance Software Developer (Python Engineer) - AI TrainerDS2 Data Scientist (Full-time & USD salary)

Greater Buenos Aires $30,000.00-$45,000.00 1 month ago

Software Engineer (Python) Career Opportunities at Dev.Pro - 01Data Scientist - Decision Science Insights | Analysts/ExpertsIntermediate Software Engineer (React.js, Node.js) - OP01587-OSPython and Kubernetes Software Engineer - Data, AI/ML & AnalyticsSoftware Engineer (Java) Career Opportunities at Dev.Pro - 01Power BI/ Data Warehouse Engineer - REMOTE

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

---