Machine Learning Engineer - LATAM

Fully remote for LATAM!

PLEASE BE AWARE THAT FOR THIS ROLE WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS CURRENTLY RESIDING IN LATAM. WE APPRECIATE YOUR UNDERSTANDING OF THIS REQUIREMENT DURING THE APPLICATION PROCESS.

️️️ONLY ENGLISH RESUMES WILL BE REVIEWED️ ️️

DISCLAIMER: By joining our talent pool, you consent to being considered for current and future roles that align with your experience. Specific duties may vary depending on the company.

APPLICATION PROCESS: Our recruitment team reviews each application carefully to match your skill set with available opportunities. If a suitable role arises, we will reach out to you promptly.

About Motum

Motum specializes in creating high-performing, fully remote teams for U.S.-based companies, connecting talented individuals across the world with opportunities for growth and development. Join us in providing meaningful work and competitive compensation in a dynamic, global setting.

About The Role

We are seeking talented Machine Learning Engineers skilled in designing, implementing, and deploying machine learning models for various applications. This talent pool is perfect for engineers focused on building and scaling intelligent systems.

Your Responsibilities

Model Development & Deployment:

Develop and deploy machine learning models, ensuring accuracy, scalability, and efficiency.
Use frameworks like TensorFlow, PyTorch, or Scikit-Learn for model training and deployment.
Monitor model performance and update models as necessary

Collaboration & Optimization:

Work with data scientists and software engineers to integrate models into production environments.
Optimize models for performance, resource usage, and inference speed.

Requirements & Qualifications

3+ years in machine learning engineering with a solid foundation in machine learning algorithms and deployment.
Experience with Python and ML frameworks (TensorFlow, PyTorch).
Strong understanding of model optimization and cloud platforms.
Fluency in English required.

Additional Information:

Working Hours: 9am-5pm across different US time zones (depending on clients location)
Full-Time: 40 hours per week, Mon-Fri
Monthly Salary Range: depending on experience and type of role
Type of Contract: Independent contractor

Benefits:

100% remote role!
Compensation in USD
️️️Paid Time Off to be determined (only for full-time roles)
Grow along a top US company and shape its future
Career advancement opportunities

Machine Learning Engineer - LATAM

Key Skills

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