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Forward Deployed AI Engineer - EQ Bank Equitable Bank
AI Engineer
Lead the design, build, and production deployment of AI solutions that drive business value, integrating models into core systems with scalable, secure, and maintainable pipelines using Python, Machine Learning, AWS, and CI/CD practices.
About the role
Key Responsibilities
- Lead end‑to‑end AI solution development, from requirement gathering to production deployment.
- Design and implement scalable, secure AI pipelines using Python, AWS services, and CI/CD workflows.
- Collaborate with data scientists, product managers, and engineering teams to translate business strategy into technical deliverables.
- Ensure model performance, monitoring, and continuous improvement in production environments.
- Advise on best practices for AI governance, data privacy, and compliance.
Requirements
- Strong experience in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn).
- Proven track record deploying AI models at scale on AWS (SageMaker, Lambda, ECS/EKS).
- Hands‑on expertise with CI/CD pipelines, containerization, and infrastructure as code.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
- Experience with data engineering concepts and working with large datasets is a plus.
Skills
pythonmachine learningawscicd