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Senior Machine Learning Engineer - Service Delivery Center - EY
ML Engineer
Senior Machine Learning Engineer leading AI solutions for financial services, building scalable ML pipelines on AWS, designing deep learning models, and collaborating with cross‑functional teams to deliver high‑impact data products.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for financial services clients using Python and AWS services.
- Collaborate with data scientists, data engineers, and business stakeholders to translate business requirements into scalable ML solutions.
- Implement deep learning models (e.g., NLP, computer vision) and optimize them for production performance.
- Ensure model governance, reproducibility, and compliance with regulatory standards.
- Mentor junior team members and share best practices for model development and deployment.
Requirements
- 5+ years of experience in machine learning engineering, preferably in financial services.
- Proficiency in Python, SQL, and AWS (SageMaker, Lambda, S3, Glue).
- Strong background in deep learning frameworks (TensorFlow, PyTorch) and model deployment.
- Experience with data engineering concepts and large‑scale data processing.
- Excellent communication skills and ability to work in a collaborative, fast‑paced environment.
Skills
pythonmachine learningawsdeep learningsql