remote
AI/ML Engineer - Verityv
ML Engineer
AI/ML Engineer with 3–5 years of experience building and deploying machine‑learning models for compliance automation and portfolio risk analysis, leveraging Python, deep‑learning frameworks, and cloud services.
About the role
Key Responsibilities
- Design, develop, and productionize machine‑learning models that automate compliance checks and risk‑assessment workflows.
- Collaborate with data engineers and product teams to integrate AI components into client‑facing platforms.
- Implement model monitoring, performance tuning, and continuous improvement pipelines using cloud infrastructure.
- Research and prototype emerging AI techniques to enhance the agentic capabilities of the product.
- Document model architecture, data requirements, and deployment procedures for cross‑functional teams.
Requirements
- 3–5 years of professional experience in AI/ML engineering, preferably in fintech or related domains.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch, plus experience with Scikit‑learn for traditional models.
- Hands‑on experience deploying models on AWS (e.g., SageMaker, EC2, Lambda) and managing containerized workloads.
- Solid understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Ability to work autonomously in a fast‑moving startup environment and communicate technical concepts to non‑technical stakeholders.
Skills
pythontensorflowpytorchaws