Principal MLOps Engineer - Remote Work | REF

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Principal MLOps Engineer at BairesDev

We are seeking a Principal MLOps Engineer to define the strategy, architecture, and standards for enterprise-scale ML infrastructure and automation. You will set the technical vision for CI/CD pipelines, model monitoring, automation frameworks, and lifecycle governance, ensuring reliability, scalability, and security across the organization. As a Principal-level leader, you will influence long-term MLOps adoption, mentor teams, and drive innovation in how machine learning systems are developed, deployed, and maintained at scale.

What You'll Do

• Define and lead the enterprise-wide MLOps strategy, architecture, and governance framework.
• Architect large-scale CI/CD pipelines, automation systems, and model monitoring solutions.
• Establish organizational standards for ML infrastructure, reproducibility, and lifecycle management.
• Partner with executives, product leaders, and engineering teams to align MLOps initiatives with business goals.
• Mentor, guide, and influence engineering teams across multiple MLOps projects.
• Evaluate and integrate cutting-edge MLOps platforms, tools, and frameworks to drive innovation.
• Ensure enterprise MLOps systems meet the highest standards for scalability, security, and compliance.
• Shape the long-term technical roadmap for ML infrastructure and operational excellence.
  
  

What We Are Looking For

• 10+ years of experience in MLOps, DevOps, or ML infrastructure engineering.
• Strong background in software architecture design.
• Strong understanding of system security.
• In-depth knowledge of performance optimization, automation, and distributed systems.
• Proven experience in designing and scaling enterprise-grade CI/CD pipelines and ML lifecycle systems.
• Skilled in cloud platforms, containerization, and orchestration (Docker, Kubernetes).
• Skilled in relational and non-relational databases.
• Ability to evaluate and select MLOps architectures/technologies, with a clear understanding of trade-offs.
• Advanced level of English.
  
  

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
  
  

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!