Contractor Machine Learning Engineer

We are seeking a Machine Learning Engineer to design and implement machine learning models.

Key Responsibilities:

• Develop and optimize machine learning models.
• Implement, test, and deploy ML algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Collaborate with data scientists and engineers to transform research prototypes into scalable solutions.
• Optimize model performance, scalability, and efficiency for deployment.
• Deploy and manage ML models using AWS, Azure ML, and Kubernetes.
• Monitor model performance and retrain as needed.
• Collaborate with cross-functional teams.

IMPORTANT: Bilingual applicants (Spanish or Portuguese native and English advanced fluency) currently located in Latin America are required.

Required:

• +5 years of experience with the role.
• Strong proficiency in Python and ML frameworks.
• Experience with cloud platforms (AWS, Azure ML).
• Knowledge of Kubernetes.
• Familiarity with data pipelines, feature engineering, and model evaluation.
• Experience deploying and monitoring ML models in production environments.
• Strong problem-solving skills and agile work style.
• Advanced written and spoken English fluency.

Preferred Qualifications:

• Experience with MLOps practices and tools.
• Understanding of big data processing frameworks.
• Knowledge of CI/CD pipelines.
• Familiarity with deep learning architectures and NLP techniques.

Type of Contract: Independent Contractor/fee for services. (No tax withholding, PTOs, or insurance. Compensation based on hours worked per month.)

Location: 100% remote. Clients are located in the US.

Time Zone and Work Hours: Full-time, Monday to Friday (8 hours/day, 40 hours/week). US time zones (PST, MST, CST, or EST).

Equipment: Contractor provides their own laptop/PC.

Interview Process: Screen interview (cultural fit, English test, requirements verification). Background check.

What is the last date for applying to the job?

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