remote
Staff AI Engineer - AI Transformation - Multiverse
AI Engineer
Lead the design and delivery of AI solutions that scale across the platform, driving product innovation and measurable impact using Python, deep learning, NLP, and cloud services.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines that power personalized learning experiences for millions of users.
- Collaborate with product, data, and engineering teams to translate business goals into scalable ML models and services.
- Own model lifecycle: data ingestion, feature engineering, training, validation, deployment, and monitoring on AWS.
- Advise stakeholders on AI strategy, ensuring ethical, explainable, and high‑performance solutions.
- Mentor junior engineers and foster a culture of experimentation and continuous improvement.
Requirements
- 10+ years of experience in AI/ML engineering with a strong portfolio of production‑grade models.
- Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and NLP libraries.
- Hands‑on experience with cloud platforms (AWS, GCP) and MLOps tooling.
- Excellent communication skills and ability to translate technical concepts to non‑technical audiences.
- Passion for education technology and a track record of delivering measurable business impact.
Skills
pythonmachine learningdeep learningnlpawsproduct management