Senior Machine Learning Engineer - Remote Work | REF#308169

BairesDev; Rio de Janeiro; Remote; BRL 657,000 - 986,000; Full time

Benefits offered by this job

Remote work

USD salary

Hardware and software setup for home

Flexible hours

Paid parental leaves

Global team

Job summary

BairesDev is a 15+-year tech company with a 4,000+ remote team delivering cutting-edge solutions globally. We seek a machine learning engineer to design, build, and deploy scalable ML models, mentor peers, and collaborate with data scientists and engineers to translate research into production systems.

You will work in a fully remote environment with competitive USD or local currency compensation, flexible hours, and strong opportunities for career growth in a multicultural setting.

Qualifications

• 4+ years of ML engineering or related field.
• Strong expertise in ML frameworks and deep learning techniques.
• Proficiency in Python and ML libraries.
• Experience deploying and scaling ML models in production.
• Knowledge of cloud platforms and distributed computing systems.
• Advanced level of English.

Responsibilities

• Design, develop, and deploy ML models and algorithms for production environments.
• Lead the optimization of ML pipelines for performance, scalability, and reliability.
• Mentor junior engineers and provide technical guidance on ML best practices.
• Collaborate with data scientists and engineers to translate research into production systems.
• Evaluate and implement new ML frameworks, tools, and methodologies.
• Drive the adoption of MLOps practices to streamline model deployment and monitoring.

Skills

ML frameworks

Deep learning

Python

Model deployment

Cloud platforms

English

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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.

Design and deploy advanced machine learning systems that solve complex business problems and drive innovation. This role combines deep technical expertise in ML algorithms with practical implementation skills, focusing on building scalable models, optimizing performance, and leading ML initiatives.

What You'll Do

• Design, develop, and deploy machine learning models and algorithms for production environments.
• Lead the optimization of ML pipelines for performance, scalability, and reliability.
• Mentor junior engineers and provide technical guidance on ML best practices.
• Collaborate with data scientists and engineers to translate research into production systems.
• Evaluate and implement new ML frameworks, tools, and methodologies.
• Drive the adoption of MLOps practices to streamline model deployment and monitoring.

What We Are Looking For

• 4+ years of experience in machine learning engineering or related fields.
• Strong expertise in machine learning frameworks and deep learning techniques.
• Proficiency in Python and experience with ML libraries and tools.
• Experience deploying and scaling ML models in production environments.
• Knowledge of cloud platforms and distributed computing systems.
• 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!