Expert Work
AI/ML Engineer
Status: Open
- Pay
- $50–$100/hr
- Location
- Remote
- Employment type
- Contractor
- Openings
- 50
- Posted
- 2026-04-30
About this opportunity
Job Title: AI/ML Engineer
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Design, develop, and deploy machine learning models to solve complex business challenges.
- Collaborate with cross-functional teams to understand requirements, define data pipelines, and deliver high-impact AI solutions.
- Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
- Utilize Python and relevant libraries to develop clean, efficient, and reusable code for AI and machine learning applications.
- Continuously monitor, evaluate, and improve the performance and accuracy of deployed models.
- Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
- Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Required Skills and Qualifications:
- Expert-level proficiency in machine learning techniques and algorithms.
- Advanced programming skills in Python and its data science ecosystem (NumPy, pandas, scikit-learn, etc.).
- Hands-on experience designing and managing ETL workflows in production environments.
- Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Excellent written and verbal communication skills; ability to convey complex ideas succinctly.
- Proven ability to collaborate and thrive in remote, distributed team settings.
- Track record of delivering robust, scalable machine learning solutions in real-world contexts.
Preferred Qualifications:
- Experience working with cloud platforms for AI/ML such as AWS, GCP, or Azure.
- Background in deploying models in production environments (e.g., using Docker, Kubernetes, or MLflow).
- Advanced degree in Computer Science, Data Science, or a related field.
Required skills
- Machine Learning
- Python
- ETL
What you'll do
- Design, develop, and deploy machine learning models to solve complex business challenges.
- Collaborate with cross-functional teams to understand requirements, define data pipelines, and deliver high-impact AI solutions.
- Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
- Utilize Python and relevant libraries to develop clean, efficient, and reusable code for AI and machine learning applications.
- Continuously monitor, evaluate, and improve the performance and accuracy of deployed models.
- Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
- Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Requirements
- Expert-level proficiency in machine learning techniques and algorithms.
- Advanced programming skills in Python and its data science ecosystem (NumPy, pandas, scikit-learn, etc.).
- Hands-on experience designing and managing ETL workflows in production environments.
- Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Excellent written and verbal communication skills; ability to convey complex ideas succinctly.
- Proven ability to collaborate and thrive in remote, distributed team settings.
- Track record of delivering robust, scalable machine learning solutions in real-world contexts.
Preferred qualifications
- Experience working with cloud platforms for AI/ML such as AWS, GCP, or Azure.
- Background in deploying models in production environments (e.g., using Docker, Kubernetes, or MLflow).
- Advanced degree in Computer Science, Data Science, or a related field.