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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!
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.