remote
AI Engineer - AI Fund
AI Engineer
AI Engineer building scalable AI solutions with Python, deep learning frameworks, and cloud infrastructure. Design end‑to‑end pipelines, deploy models, and collaborate with product teams to deliver AI‑driven applications.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI pipelines from data ingestion to model inference.
- Implement state‑of‑the‑art machine learning and deep learning models using frameworks such as PyTorch or TensorFlow.
- Deploy models to cloud platforms (AWS/GCP) ensuring scalability, reliability, and low latency.
- Collaborate with product and data teams to translate business requirements into technical solutions.
- Monitor model performance, conduct A/B testing, and iterate for continuous improvement.
Requirements
- Proficiency in Python and experience with ML/DL libraries.
- Strong understanding of cloud services (AWS, GCP) and containerization (Docker, Kubernetes).
- Hands‑on experience with model deployment, monitoring, and MLOps pipelines.
- Excellent problem‑solving skills and a product‑oriented mindset.
- Effective communication and teamwork abilities.
Skills
pythonmachine learningdeep learning