Work From Home Machine Learning Platform Engineer / Ref. 1205E

BairesDev; Brasil; Teletrabalho; BRL 614 000 - 922 000; Tempo integral

Resumo da oferta

BairesDev is seeking a Machine Learning Platform Engineer to bridge ML research and production engineering by building robust, scalable internal ML infrastructure. You’ll enable data science teams to manage the full lifecycle from training to production.

Join a global, remote-first team delivering cutting-edge solutions and collaborating with engineers and data scientists to set platform standards, governance, and high-availability ML systems.

Qualificações

• 5+ years of experience in Machine Learning Engineering, Platform Engineering, or MLOps.
• Proven expertise in designing, building, and maintaining scalable ML production platforms.
• Advanced proficiency in Python and MLOps principles.
• Strong understanding of containerization and orchestration for ML workflows.
• Advanced proficiency in English.

Responsabilidades

• Design, implement, and maintain scalable infrastructure and platforms specifically optimized for production machine learning workflows.
• Build and optimize automated CI/CD and MLOps pipelines to streamline model deployment, tracking, and continuous integration.
• Standardize containerization and orchestration architectures to support diverse distributed training and model serving workloads.
• Collaborate with data scientists and engineers to define core platform infrastructure requirements and operational standards.
• Ensure high availability, reliability, and security of ML systems through proactive platform governance and infrastructure management.

Conhecimentos

Python

MLOps

Distributed systems

CI/CD

Platform engineering

English

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

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.

Machine Learning Platform Engineer at BairesDev. As a Machine Learning Platform Engineer, you will act as the link between machine learning research and production engineering, ensuring that deployment and evaluation pipelines are robust and scalable. You will design, build, and maintain internal ML infrastructure, enabling data science teams to seamlessly manage the full machine learning lifecycle from training to production.

What You'll Do:

• Design, implement, and maintain scalable infrastructure and platforms specifically optimized for production machine learning workflows.
• Build and optimize automated CI/CD and MLOps pipelines to streamline model deployment, tracking, and continuous integration.
• Standardize containerization and orchestration architectures to support diverse distributed training and model serving workloads.
• Collaborate with data scientists and engineers to define core platform infrastructure requirements and operational standards.
• Ensure high availability, reliability, and security of ML systems through proactive platform governance and infrastructure management.

What we are looking for:

• 5+ years of experience in Machine Learning Engineering, Platform Engineering, or MLOps.
• Proven expertise in designing, building, and maintaining scalable ML production platforms.
• Advanced proficiency in Python and MLOps principles.
• Strong understanding of containerization and orchestration for ML workflows.
• Advanced proficiency in 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 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.