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micro1.

AI Engineer

micro1.
contract remote mid

$20 – $90/hr

Job Description

Job Title: AI Engineer


Job Type: Contractor


Location: Remote


Job Summary:

Join our customer's team as an AI Engineer and help drive innovative solutions at the intersection of software engineering, data science, and applied research. You will develop and deploy advanced machine learning systems that tackle real-world data challenges, collaborating closely with experts across multiple domains in a fully remote environment.


Key Responsibilities:

  • Design, build, and optimize robust machine learning models for production environments.
  • Implement and automate end-to-end ML pipelines using CI/CD best practices.
  • Leverage AWS services for scalable AI infrastructure and model deployment.
  • Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
  • Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
  • Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
  • Document and communicate findings, solution approaches, and technical decisions with clarity and precision.


Required Skills and Qualifications:

  • Proven expertise in machine learning algorithms, model development, and deployment.
  • Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
  • In-depth experience with CI/CD workflows and automation tools.
  • Hands-on expertise with AWS cloud services for ML applications and data pipelines.
  • Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
  • Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
  • Demonstrated ability to scope, structure, and solve complex, real-world data challenges.


Preferred Qualifications:

  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience working in high-growth or startup environments.
  • Strong publication record or contributions to open-source AI projects.