Principal Machine Learning Engineer - Remote Work | REF#308043

BairesDev; Campinas; Remoto; BRL 768.000 - 1.207.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% remote work

Competitive USD compensation

Hardware and software setup

Flexible hours

Parental leaves and vacations

Global collaboration with Top 1%

Mentorship and career growth

Descrizione del lavoro

BairesDev is seeking a highly experienced Principal Machine Learning Engineer to define and lead ML strategy, architecture, and governance across the organization. You will oversee model deployment, MLOps, pipelines, feature engineering, and enterprise-scale serving, mentoring teams and setting standards.

The role emphasizes collaboration with data and software engineers to align ML initiatives with business goals and to drive AI-driven innovation across projects.

Competenze

• 10+ years of experience in machine learning, MLOps, model deployment, ML pipelines and feature engineering.
• Strong software architecture background and understanding of security.
• Experience designing distributed, scalable cloud-based solutions.
• Expertise in CI/CD for ML workflows and strong English communication.

Mansioni

• Define and lead the ML strategy, architecture, and governance across the organization.
• Oversee deployment, monitoring, and reliability of ML models and pipelines at scale.
• Collaborate with data and software engineers to align ML initiatives with business goals.
• Mentor ML engineers and drive adoption of MLOps practices and standards.
• Evaluate emerging ML frameworks and tools to improve performance and reliability.

Conoscenze

Machine Learning

MLOps

Model deployment

ML pipelines

CI/CD pipelines

Cloud architectures

Distributed systems

Security awareness

Memory optimization

English proficiency

Strumenti

AWS

GCP

Azure

Docker

Kubernetes

Descrizione del lavoro

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 Machine Learning Engineer at BairesDev

We are seeking a highly experienced Principal Machine Learning Engineer to define and lead the ML strategy, architecture, and governance across the organization. You will oversee model deployment, MLOps, pipelines, feature engineering, and model serving at enterprise scale. The ideal candidate combines deep technical expertise with strategic vision, mentoring teams, setting standards, and driving innovation in machine learning solutions across projects and business units.

What You'll Do

• Define and lead the machine learning strategy and architecture across the organization.
• Oversee the design, deployment, and monitoring of ML models and pipelines at enterprise scale.
• Ensure performance, scalability, reliability, and security of ML models and systems.
• Establish best practices, standards, and governance for ML model development, deployment, and monitoring.
• Collaborate with data engineers, software engineers, and product teams to align ML initiatives with business goals.
• Mentor and guide ML engineers and teams, fostering knowledge sharing and technical excellence.
• Evaluate and integrate emerging ML frameworks, tools, and technologies to enhance model performance and reliability.
• Influence enterprise-wide decisions on ML adoption, MLOps practices, and AI-driven innovation.

What We Are Looking For

• 10+ years of experience in machine learning, MLOps, model deployment, ML pipelines, model monitoring, and feature engineering.
• Strong background in software architecture design.
• Strong understanding of system security.
• In-depth knowledge of memory management and performance optimization.
• Experience in designing and integrating distributed and scalable solutions, particularly in cloud environments.
• Skilled in relational and non-relational databases.
• Ability to choose between different architectures/technologies, understanding the pros and cons of each.
• Expert in managing CI/CD pipelines.
• 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!

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