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Senior Machine Learning Engineer - Remote Work

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça das Bandeiras, 54 - Centro, Ribeirão Preto - SP, 14015-068, Brazil
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Summary: Design and deploy advanced machine learning systems that solve complex business problems, combining deep technical expertise in ML algorithms with practical implementation skills. Highlights: 1. Design and deploy ML models for production environments 2. Lead optimization of ML pipelines for performance and scalability 3. Mentor junior engineers and provide technical guidance on ML best practices 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! Apply now!

Source:  indeed View original post
João Silva
Indeed · HR

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