Artificial Intelligence Solution Scalability Program Lead

About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net:zero future. As one of the world 's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower:emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society 's evolving needs. Learn more about our What and our Why and how we can work together.
What role you will play in our team
We are looking to hire Machine Learning Engineers (MLEs) with prior industry experience to work on challenging technology and engineering problems that span oil and gas exploration and production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it, leveraging external capabilities (technology and talent) as appropriate. Persons in this role will lead technology discovery, development, and delivery activities for new business or technology opportunities and/or sustainment activities for existing solutions using Data Science and Artificial Intelligence (AI). They will work as part of an agile team to ensure solutions are scalable, reproducible and with commercial:grade quality.
What you will do
:Provide functional expertise/guidance to teams and collaborate effectively with other Machine Learning Engineers, Data Scientists, Computational Scientists, Principals, Senior Principals, Supervisors, Managers, Domain experts and Contractors across the globe to develop strategies/plans to solve business or technology problems and add tangible business value.
:Integrates deep technical skills with business judgement to address business challenges.
:Leads the scoping and identifies the appropriate solution design of a deployment of a new data science solution.
:Applies software development practices, DevOps skills and Machine Learning (ML) techniques and coordinates the implementation effort of an end:to:end machine learning workflow that effectively brings ML models to production.
:Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re:training of models, including the implementation of proactive alerting methods.
:Mentors and coaches junior team members.
:Promotes existing Machine Learning (ML) architecture/design approaches and consults on new trends.
About You
Skills and Qualifications
:Must have Bachelor 's degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with score 70 and above (equivalent CGPA)
:Minimum 5 years of prior industry experience solving data science and machine learning problems including but not limited to regression, classification, time series forecasting, computer vision, natural language processing and generative AI
:Experience with data science workflow orchestration (e.g. Databricks) and Machine Learning Operations (e.g. MLflow)
:Experience in leading machine learning team in prioritizing, allocating resources and mentoring machine learning professionals.
:Experience with a machine learning project from inception to deployment
:Experience with Infrastructure:As:Code (e.g. Terraform, Databricks Asset Bundles)
:Experience with Continuous Integration and Continuous Deployment/Delivery (e.g. Github Actions)
:Experience with refactoring legac
Job Type: Permanent