onsite
Senior Machine Learning Engineer - Customer AI - Compare The Market
ML Engineer
Senior Machine Learning Engineer driving AI solutions for customer insights, leveraging Python, AWS, and advanced ML techniques to deliver high‑impact models that simplify financial decision‑making for millions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines that power customer‑centric AI features.
- Collaborate with data scientists and product teams to translate business problems into scalable ML solutions.
- Implement robust data engineering workflows, ensuring data quality, feature engineering, and model monitoring in production.
- Optimize models for performance and cost on AWS infrastructure, utilizing services such as SageMaker, Lambda, and S3.
- Lead experimentation, A/B testing, and continuous improvement of model accuracy and relevance.
Requirements
- 5+ years of experience building production‑grade ML systems in a fast‑moving environment.
- Strong proficiency in Python, with experience in libraries like TensorFlow, PyTorch, or Scikit‑learn.
- Hands‑on expertise with AWS services (SageMaker, Lambda, S3, Glue) and CI/CD for ML workflows.
- Deep knowledge of data engineering concepts, feature stores, and model monitoring.
- Excellent communication skills and a proven ability to work cross‑functionally.
Skills
pythonmachine learningawsdeep learningnlp