AI/ML Engineer

Roles and Responsibilities:-

• The Principal AI/ML Engineer will join a vibrant team of Data Scientist and ML Engineer team working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship.

• The Principal AI/ML Engineer will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines.

• They will also be accountable for adhering to Shell quality standards for producing digital solutions.

• Key Characteristics Lead a portfolio or programs in IDA and small team of AI Engineers Working 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, ongoing monitoring tools.

• Build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization.

• Work closely with Infrastructure, data engineering and DevOp 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

- Master Enterprise compliance

- Skill AWS, Python, JS, Kubernetes, Kubeflow - Skill

Kubernete, Ml, Ai, Sql, Python