Work From Home MLOps Engineer (Python) / Ref. 1205E

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

Vantagens oferecidas por esta oferta de emprego

Remote work 100%

USD-based compensation

Home office setup provided

Flexible hours

Parental leave & vacations

Resumo da oferta

BairesDev is seeking an MLOps Engineer (Python) to design and operate automated pipelines for deploying and managing machine learning models at scale. You will work across development and production environments to ensure reliability and security in ML workflows.

Join a 100% remote team that values flexible hours and international collaboration. This role offers USD-based compensation and opportunities for mentorship, skill development, and career growth within a multicultural setting.

Qualificações

• 5+ years of experience in Machine Learning Engineering, MLOps, or DevOps with a focus on Python.
• Proven expertise in building, deploying, and managing automated production MLOps pipelines.
• Strong proficiency in Python programming and core ML frameworks.
• Solid understanding of CI/CD practices, workflow automation, and infrastructure for ML systems.
• Advanced proficiency in English.

Responsabilidades

• Design, implement, and maintain scalable production pipelines for machine learning workflows.
• Integrate continuous integration and continuous deployment frameworks tailored for machine learning architectures.
• Automate infrastructural provisioning and system monitoring to maintain optimal model health and operational stability.
• Collaborate with engineering and science teams to operationalize machine learning models efficiently.

Conhecimentos

Python

MLOps

Machine Learning

CI/CD

English

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.

MLOps Engineer (Python) at BairesDev

As an MLOps Engineer (Python), you will design and operate automated pipelines to streamline the deployment and management of machine learning models. You will unify development workflows with robust infrastructure operations, ensuring that ML systems perform reliably, securely, and at scale within a production environment.

What You'll Do:

• Design, implement, and maintain scalable production pipelines for machine learning workflows.
• Integrate continuous integration and continuous deployment frameworks tailored for machine learning architectures.
• Automate infrastructural provisioning and system monitoring to maintain optimal model health and operational stability.
• Collaborate with engineering and science teams to operationalize machine learning models efficiently.

What we are looking for:

• 5+ years of experience in Machine Learning Engineering, MLOps, or DevOps with a focus on Python.
• Proven expertise in building, deploying, and managing automated production MLOps pipelines.
• Strong proficiency in Python programming and core machine learning frameworks.
• Solid understanding of CI/CD practices, workflow automation, and infrastructure for ML systems.
• 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.