Das ist der Job
Your work will shape how models learn, reason, and perform through high‑quality, real‑world input.
Darum lohnt es sich
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.
Job Description
Job Title: AI Engineer
Job Type: Contract
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next‑generation AI systems. 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.
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
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.
