ML Engineer - Remote Work | REF#303226

BairesDev; Chile; A distancia; CLP 102.041.000 - 157.699.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD salary

Hardware provided

Flexible hours

Paid parental leave

Descripción de la vacante

BairesDev is seeking a Machine Learning Engineer to design, develop, and deploy sophisticated ML models addressing real-world business challenges. You will work on cutting-edge AI solutions, leveraging advanced algorithms to deliver impactful results.

You will collaborate with cross-functional teams, implement end-to-end ML pipelines, and continuously monitor model performance. This role offers 100% remote work and competitive compensation in USD or local currency, with flexible hours and a

Formación

• 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 ML algorithms and production model deployment.

Responsabilidades

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

Conocimientos

Python

ML libraries

Data preprocessing

Model deployment

Herramientas

TensorFlow

PyTorch

scikit-learn

Descripción del empleo

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!