Micro1 Accepting applications Coding

AI/ML Engineer

Global Remote Contract Posted 30 Apr 2026

$70–$130/hour

About this role

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.

Skills

Machine LearningPythonETL

Sourced from micro1 via Micro1 · original listing · application link last checked 30 Jul 2026

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