Senior Machine Learning Developer
1 week ago
In today's rapidly changing business landscape, Signify Health Ireland is committed to staying ahead of the curve. We are driving business agility and growth through technology, data, digital, and experiential innovations, creating a seamless, convenient, and personalized experience for customers.
We are looking for a talented Machine Learning Engineer to join our Retail Analytics Engineering department. This individual will play a critical role in developing AI/ML driven analytical solutions at scale, partnering with data scientists to optimize complex ML models and optimizer solvers for highly dynamic and sophisticated pricing and promotion strategies.
The successful candidate will have hands-on experience working with big data, distributed computing, and machine learning technologies, and will be responsible for designing and conducting experiments to evaluate the performance of machine learning models, iterating on models based on feedback and evolving business requirements, and building frameworks, reusable modules, and authoring best practices and standards to enable self-serve capabilities.
Key Responsibilities:
- Collaborate with data scientists to train, optimize, scale, and support AI/ML models.
- Translate functionality into scalable, tested, and configurable platform architecture and software.
- Ensure models are integrated into production systems with high reliability and performance.
- Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.
- Build frameworks, reusable modules, and author best practices and standards to enable self-serve capabilities that enable data scientists to deploy solutions quickly and efficiently.
Required Qualifications:
- 3+ years professional experience in implementing ML and Data Engineering at scale.
- 3+ years of experience with Python & SQL programming language.
- 3+ years' experience with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes).
- 3+ years of experience in building cloud native analytical solutions, either on Azure or GCP.
- 1+ years designing, implementing, and optimizing machine learning algorithms and models using open-source machine learning frameworks such as TensorFlow, PyTorch, and XGBoost.
- 1+ years' experience in end-to-end ML implementation lifecycle including feature engineering, training, inference, model drift measurement, and model observability.
- 1+ years' experience in building data engineering pipelines, and metric aggregation layers.
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