remote
Senior AI Engineer - AI Transformation - Multiverse
AI Engineer
Lead AI initiatives, designing and deploying advanced ML models on cloud platforms to power upskilling programs. Drive end‑to‑end AI solutions, from data pipelines to production deployment, ensuring high performance and scalability.
About the role
Key Responsibilities
- Architect and develop scalable AI/ML solutions using Python, TensorFlow/PyTorch, and NLP libraries to support interactive learning modules.
- Design and maintain end‑to‑end data pipelines, ensuring data quality, feature engineering, and model training workflows.
- Deploy models to cloud environments (AWS SageMaker, Lambda, or equivalent) and monitor performance, latency, and resource usage.
- Collaborate with product, design, and data teams to translate business requirements into technical specifications and deliver actionable insights.
- Mentor junior engineers, conduct code reviews, and promote best practices in model versioning, reproducibility, and documentation.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of production‑grade models.
- Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and NLP techniques.
- Hands‑on experience with cloud ML services (AWS SageMaker, Lambda, or similar).
- Solid understanding of data engineering concepts, SQL, and data pipeline orchestration.
- Excellent problem‑solving skills, strong communication, and a passion for continuous learning.
Skills
pythonmachine learningdeep learningnlpaws