Senior MLOps Engineer

Factored; Mexico; Hybrid; PHP 7,524,000 - 11,285,000; Full time

Benefits offered by this job

Equity participation

Education bonus

Company-wide winter break

Paid time off

Optional in-person events

Job summary

Factored is seeking a Senior MLOps Engineer to join a fully remote team building and maintaining AI products for clients. You will deploy models, design automated training and deployment pipelines, and manage infrastructure for scalable ML workloads.

The role emphasizes collaboration with data scientists and engineers while ensuring compliance and security. We offer equity participation, education bonuses, a company-wide winter break, and paid time off.

Qualifications

• Experience deploying ML models to production.
• Strong grasp of ML algorithms and modeling.
• Proficiency with cloud platforms (AWS/GCP/Azure).
• Experience with CI/CD for ML workflows.
• Excellent English communication.

Responsibilities

• Deploy machine learning models to production environments.
• Design and implement automated workflows for model training, testing, and deployment.
• Manage and optimize the infrastructure supporting ML workloads.
• Establish monitoring systems for deployed models to ensure performance and reliability.
• Collaborate with data scientists, software engineers, and cross-functional teams to meet model requirements and business objectives.
• Ensure compliance with industry regulations and data protection standards.
• Stay updated on ML ops innovations and integrate relevant technologies.
• Continuously optimize processes to reduce deployment times.

Skills

MLOps

Python

Kubernetes

Docker

Cloud

Education

BS/MS in CS or Eng

Tools

TensorFlow

PyTorch

scikit-learn

Airflow

Kubeflow

Docker

Kubernetes

Job description

Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose:To empower brilliant humans, unleash their potential, and amplify their impact in the world.

At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.

We are looking for a Senior MLOps Engineer to join our team. You will participate in the development and maintenance of AI products for our clients. At Factored we are building a company that we all hold as our own, every single one of us. We need your skills to help take this rocketship to new heights and help create new opportunities for us. In return, you will be rewarded with an amazing team that supports you, rich culture, shared success and the flexibility to work- from the comfort of your home.

Functional Responsibilities:

• Deploy machine learning models to production environments using industry best practices.
• Design and implement automated workflows for model training, testing, and deployment.
• Manage and optimize the infrastructure supporting machine learning workloads.
• Establish monitoring systems for deployed models to ensure performance and reliability.
• Work closely with data scientists, software engineers, and cross-functional teams to understand model requirements and business objectives.
• Ensure compliance with industry regulations and data protection standards.
• Stay informed about the latest advancements in MLOps and integrate relevant technologies and methodologies.
• Continuously optimize processes to enhance efficiency and reduce deployment times.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience as MLOps Engineer, demonstrating successful development and maintenance of machine learning models.
• Strong programming skills in languages such as Python, R, or Java, along with experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP), Kubernetes, and Docker.
• Excellent verbal and written communication skills in English.
• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.
• Tailored career roadmaps.
• High-performance culture.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.

We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.

In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.