Summary
An AI Platform Engineer is responsible for designing, implementing, and maintaining the infrastructure and tools required to support artificial intelligence and machine learning workflows. They ensure that data scientists and machine learning engineers have a robust and scalable platform to build and deploy AI models efficiently.
Responsibilities
Design and implement machine learning infrastructure and platforms,
Collaborate with data scientists and engineers to integrate AI/ML models into production,
Maintain and optimize AI platform performance,
Ensure data privacy and security standards are met,
Stay current with emerging technologies and industry trends,
Provide technical guidance and support to team members.
Qualifications and Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field,
Proven experience with cloud computing services like AWS, GCP, or Azure,
Strong background in software development and scripting languages,
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes),
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and algorithms,
Understanding of data engineering and ETL processes,
Knowledge of DevOps practices and CI/CD pipelines,
Excellent problem-solving and communication skills.