SaidGig

Machine Learning Engineer

$30–$160/hr

RemoteContracttechnologyUpdated Jun 9, 2026
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About this role

As a Machine Learning Engineer, you will play a crucial role in shaping the future of AI systems by applying your domain expertise to train next-generation models. Your contributions will directly influence how these models learn, reason, and perform, utilizing real-world input to enhance their capabilities.

Key Responsibilities:
  • Architect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.
  • Collaborate closely with cross-functional stakeholders to identify opportunities for AI-driven improvements.
  • Develop and manage robust data pipelines utilizing MongoDB to facilitate seamless data processing and retrieval.
  • Evaluate model performance with thorough A/B testing and continuous monitoring, iterating for maximum impact.
  • Document technical processes and model architectures with clarity to support internal knowledge sharing.
  • Translate complex technical concepts to both technical and non-technical audiences, ensuring alignment and understanding across the team.
  • Uphold best practices in code quality, version control, and scalable deployment.
Qualifications:
  • Expert proficiency in Python for designing and deploying machine learning models.
  • Demonstrated experience with core machine learning frameworks and libraries.
  • Strong hands-on expertise with MongoDB for data storage, querying, and management.
  • Deep understanding of modern machine learning concepts, algorithms, and industry applications.
  • Exceptional written and verbal communication skills, with a passion for clear, effective information sharing.
  • Proven ability to work autonomously and efficiently in a fully remote setting.
  • Track record of delivering complex machine learning projects from concept to production.
Preferred Qualifications:
  • Experience with additional NoSQL databases and data engineering tools.
  • Background in deploying ML models in cloud environments (AWS, Azure, or GCP).
  • Advanced knowledge of data visualization tools and techniques.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly rate ranging from $30 to $100.

Eligibility:

No prior experience in AI is required; your domain knowledge is what matters.

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