ML Engineer - Remote Work | REF#302067

BairesDev; Brasil; Remote; BRL 493,000 - 767,000; Full time

Benefits offered by this job

100% remote

Flexible hours

Parental leave

Equipment provided

Mentorship program

Competitive USD compensation

Job summary

BairesDev is seeking a Machine Learning Engineer to design, develop, and deploy advanced ML models solving complex business challenges. You will work with cutting-edge AI techniques and collaborate with cross-functional teams to bring models from concept to production.

The role offers 100% remote work, flexible hours, and competitive compensation in USD or local currency, with opportunities for mentorship and career growth within a global Top 1% talent network.

Qualifications

• 3+ years of experience in ML engineering, data science, or related fields.
• Python proficiency with ML libraries: TensorFlow, PyTorch, scikit-learn.
• Solid understanding of ML algorithms and statistical modeling techniques.
• Experience deploying ML models to production environments.
• Data preprocessing, feature engineering, and model optimization.
• Advanced level of English.

Responsibilities

• Design and implement ML models and algorithms for business problems.
• Develop end-to-end ML pipelines from data preprocessing to deployment.
• Feature engineering and model selection to optimize solutions.
• Collaborate with cross-functional teams to productionize models.
• Perform model evaluation, validation, and monitoring.
• Research state-of-the-art ML techniques and best practices.

Skills

ML engineering experience

Python programming

English proficiency

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.

As a Machine Learning Engineer at BairesDev, you will design, develop, and deploy sophisticated machine learning models that solve complex business challenges. You'll work on cutting-edge AI solutions, leveraging advanced algorithms and data-driven approaches to create innovative and impactful machine learning systems.

What You'll Do

• Design and implement machine learning models and algorithms to address specific business problems.
• Develop end-to-end machine learning pipelines, from data preprocessing to model deployment.
• Conduct advanced feature engineering and model selection to optimize machine learning solutions.
• Collaborate with cross-functional teams to integrate ML models into production environments.
• Perform rigorous model evaluation, validation, and continuous performance monitoring.
• Research and implement state-of-the-art machine learning techniques and best practices.

What We Are Looking For

• 3+ years of experience in machine learning engineering, data science, or related fields.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms and statistical modeling techniques.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in data preprocessing, feature engineering, and model optimization.
• 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!