AI Platform Engineer (Data Platform)

Job summary

Lead the development of cutting-edge AI/ML infrastructure to enable and accelerate AI applications and services.

Qualifications

• Five years of experience building and deploying machine learning and AI pipelines in a commercial environment.
• Experience with cloud-based data platforms (AWS, GCP, Snowflake) and related services (Airflow, Sagemaker, Vertex AI).
• Expert in Python, Terraform, and familiarity with Golang.
• Proven track record of delivering successful data-driven solutions.
• Skilled in automating processes with GitHub Actions pipelines.
• Excellent communication and interpersonal skills for cross-functional collaboration and technical communication.
• Three or more years of experience in infrastructure and platform engineering teams.
• Experience with clustering algorithms and recommender systems.
• Knowledge of software engineering practices and version control systems.
• Bachelor's degree in STEM or related field.
• Master's or Ph.D. in STEM or related field preferred.

Responsibilities

• Build robust and reliable infrastructure for AI applications and services.
• Collaborate with cross-functional teams to develop data-driven solutions.
• Provide guidance on infrastructure and system architectures for AI decision-making.
• Design and implement robust data infrastructure with governance practices.
• Mentor data scientists and foster knowledge sharing.
• Stay updated with industry trends in machine learning, AI, LLMs, and data science.

Skills

Relocation