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 & 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 legacy code and leveraging third-party libraries/APIs during software development Experience developing using cloud platform (e.g. Azure) and containers (e.g. Docker) Competent to expert level programming experience in C/C++/Python  Strong foundation in application design Experience with source code version control (e.g Git) Skills and Qualifications

 

Strong written and verbal communication skills Leadership experience Matlab, SQL Your benefits

 

An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 

 

Competitive compensation  Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits  Retirement benefits  Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility

 

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

Stay connected with us

 

Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement

 

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.
 

Business solicitation and recruiting scams

 

ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.
 

 

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.