AI 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, 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

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

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