Artificial Intelligence Engineer (Remote)

Overview

• **Role:**

Artificial Intelligence Engineer (Remote)

• **Location:**

Remote (Work from Anywhere)

• **Payout:**
• $30 - $130/hour

Role Overview

Key Responsibilities

• Design, build, and optimize robust machine learning models optimized for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices to ensure reliability and efficiency.
• Leverage AWS services for scalable AI infrastructure, model deployment, and data processing workloads.
• Orchestrate containerized workloads using Kubernetes to maintain high availability and seamless scalability of AI systems.
• Collaborate with cross-functional teams including 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 solution approaches, methodologies, and findings for internal and external stakeholders.

Required Skills & Qualifications

• Experience with machine learning model development and optimization in production settings.
• Proficiency in implementing CI/CD pipelines for ML workflows using tools such as GitHub Actions, Jenkins, or GitLab CI.
• Hands-on experience with AWS services including EC2, S3, Lambda, SageMaker, and related cloud infrastructure.
• Strong working knowledge of Kubernetes for container orchestration, deployment, and scaling of ML workloads.
• Ability to preprocess, evaluate, and structure domain-specific data for machine learning applications.
• Familiarity with Python and relevant ML libraries such as TensorFlow, PyTorch, or scikit-learn is beneficial.
• Excellent documentation skills and ability to communicate technical concepts clearly to non-technical stakeholders.

More About the Opportunity

Equal Opportunity Employer