Role Overview :

The Senior AI/ML Engineer will join a vibrant team of Data Scientists and ML Engineers working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Senior AI/ML Engineer will be responsible for initiating, developing and deploying data science solutions/products in an agile fashion to meet demand across multiple business lines. They will also be accountable for adhering to quality standards for producing digital solutions.

Key Characteristics :

- Work within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies.

- Build core infrastructure around feature engineering, model training, model deployment, and ongoing monitoring tools.

- Build and automate AI/ML workstreams from data analysis, experimentation, operationalization, model training, model tuning to visualization.

- Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying models and data pipelines into production.

- Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures.

- Keep abreast of new engineering practices, technologies and continuously improving our Agile practices.

- Contribute to community building initiatives like CoE, CoP.

Mandatory Skills :

- E2E Solution design / delivery of ML app (Master)

- Cloud deployment (Master)

- Experienced in MLOps, Auto ML, distributed computing (Master)

- Data Engineering (Master)

- Data Science and Machine Learning methods (Skill)

- Enterprise compliance (Skill)

- Azure, AWS, Python, JS, Kubernetes, Kubeflow (Skill)