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Machine Learning Engineer (Python) - Remote Work

BairesDev · Chile · Remote · LinkedIn

FreelanceOnly Chile · Remote

This job is restricted to candidates in: Chile. Work model: Remote

About the job

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. Machine Learning Engineer (Python) at BairesDev As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value. What You'll Do: - Design and implement production-ready machine learning models and algorithms using Python. - Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training. - Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments. - Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability. - Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift. - Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements. What we are looking for: - 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering. - Proven expertise in designing, training, and deploying machine learning models in production environments. - Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. - Hands-on experience with Databricks for managing and scaling machine learning workloads. - Strong background in optimizing model performance and ensuring production system scalability. - 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. Apply now and become part of a global team where your unique talents can truly thrive! … mais Sobre a empresa BairesDev 1.070.388 seguidores Seguir Atividades dos serviços de tecnologia da informação • 1001-5000 funcionários • 2.841 no LinkedIn BairesDev is your expert partner, working alongside you to build high-quality software — AI for the speed, top 1% engineers for the precision. We mean "top 1%" literally: we receive more than 2 million applications a year and hire fewer than 1% of them. That is the standard every engineer on your team has met — 4,000+ senior engineers across the Americas and the Caribbean, in 50 countries, working in your time zone. Since 2009 we've completed 1,200+ projects for 500+ clients — from disruptive startups to Fortune Global 500 brands including Google, Johnson & Johnson, and Rolls-Royce. Bring us into your stack and your standards, and our engineers extend your team. Engage us for the full project, and we deliver end to end — including the AI systems themselves: agents, assistants, and data platforms running in production. And if you're still defining what an AI-native development lifecycle should look like, we have a program designed to guide it. Bootstrapped since 2009, profitable since day one, and studied at Harvard Business School. Let's discuss what you're building → … mais Compromissos Crescimento profissional e aprendizagem BairesDev allows talented professionals to work on high-level projects for world-renowned companies, including startups and Fortune 500 companies, utilizing innovative technology to solve complex challenges. With a dynamic work environment that encourages growth and development, BairesDev's talent rotation policy and mentorship programs help professionals stay ahead in their fields and take their careers to the next level. In 2022, BairesDev provided 1260 hours of training and offered mentoring programs and training plans for career development. … mais Diversidade, equidade e inclusão We believe in the transformative power of diversity to build a more creative, innovative, and thriving workplace. That's why BairesDev stands by the LGBTQIA+ community and works relentlessly to improve our recruitment efforts and internal processes to foster a more inclusive company. BairesDev earned Comparably's Best Company for Diversity 2020 award thanks to a remarkable 96/100 diversity score based on hundreds of anonymous talent reviews, which reflects our commitment to diversity and inclusion. We also encourage collaborators to refer diverse candidates and reward referrals that lead to the successful hiring of women. … mais Impacto social BairesDev supports the following organizations because they share our dedication to promoting the development of women, children, and underrepresented communities in tech: Girls in Tech, Child's Play, Code, Girls Who Code, Benetech, One laptop per child, Feeding America, Charity Water, Cancer Research Institute. Here are some of BairesDev's initiatives on Social Impact: Giveback Program: Twice a year, BairesDev curates a list of non-profit organizations that drive change and help talent grow, wherever it may be. BairesDev already made over 500 donations on behalf of its clients to 60 organizations helping talent thrive around the world. Learn more about this program here: https:

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