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 canwork together What role you will play in our team We are looking to hire candidates 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 The Machine Learning Engineer will work as part of a team to design develop deploy and sustain data science solutions that are scalable reproducible and with commercial-grade quality What you will do Applies software development practices DevOps skills and Machine Learning ML techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production Participates in scoping of deployment of new data science solutions and implements the appropriate solution design 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 Works effectively with computational scientists data scientists engineers software developers and domain experts across the globe to develop and apply computational and data science solutions in support of our business About You Skills and Qualifications Bachelor s degree from a recognized university in Computer Science IT Applied Mathematics Engineering or related disciplines with minimum 7 0 CGPA or equivalent Minimum 3 years of experience in Data Science and Machine Learning or related computational domain Competent to expert level programming experience in C C Python Strong foundation in application design Experience with refactoring legacy code and leveraging third-party libraries APIs during software development Experience with Source code version control Git Azure Cloud platform and containers Databricks and MLflow Continuous Integration and Continuous Deployment Familiarity with statistical analysis regression and classification Preferred Qualifications Experience Experience with time series analysis computer vision natural language processing Knowledge or hands on experience on Matlab SQL Strong written and verbal communication skills Prior knowledge of commercial software development and or experience in commercial software teams Familiarity with Oil and Gas Industry 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 perks 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 ExxonMobil exxonmobil o Instagram photos and videos 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