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 Software Engineer specializing in Machine Learning, you will deploy and operate ML models in production, ensuring the scalability and reliability of AI-driven systems. You will act as a link between experimental data science and production engineering to build automated training pipelines and high-performance serving layers.
What You'll Do
- Design and implement automated machine learning pipelines for model training, evaluation, and deployment.
- Build and maintain scalable model serving infrastructure using AWS SageMaker or GCP Vertex AI.
- Track experiments and manage model versioning using tools like MLflow or Weights & Biases.
- Containerize ML workloads with Docker to ensure portability across diverse environments.
- Optimize model performance and serving latency to ensure system reliability and observability.
- Integrate machine learning models into production software systems through robust software engineering practices.
What We Are Looking For
- 4+ years of experience in Software Engineering with a focus on Machine Learning or MLOps.
- Proven expertise in deploying and operating ML models in production environments.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Hands-on experience with ML lifecycle tools such as MLflow, SageMaker, or Vertex AI.
- Solid understanding of containerization using Docker to ensure model reliability.
- 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 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!