About the job
Join our Digital Solutions team
Are you a Sr Machine Learning Engineer looking for an innovative change?
Join our Bently Nevada Team
Baker Hughes Bently Nevada offers a plant-wide, holistic suite of machine condition monitoring and protection hardware, software and services that help achieve the highest level of asset reliability possible. Our team takes ownership in designing and implementing web/cloud applications.
Partner with the best
As a Senior Machine Learning Engineer, you will be involved in designing and implementing web/cloud applications and converting Machine learning models from POC to production while integrating it into the application. You will be responsible for designing, programming and technically guiding the team.
As Senior Machine Learning Engineer you will be responsible for:
Software engineering for Machine learning. Python software development and converting Machine learning models provided by the Data scientist into production quality considering scalability, performance, data & application integration, etc.
Data Cleaning, Wrangling & validation.
Data Mining and supporting model research is desired but not mandatory.
Developing back-end and front-end services in any language/script/technology as per the project need.
Working on enterprise-scale/complex project that require you to connect the business needs and domain with technical knowledge.
Working & collaborating with cross-functional teams of Devs, Architects, Data engineers, Data Scientists, SMEs, devops, quality engineers, product managers, etc to implement efficient Analytical solutions.
Spearheading technical coaching, model/code reviews, best practices, etc.
Leading and consulting in architecture and design of the application, supporting team execution.
Helping in designing interfaces and information exchange between modules.
Fuel your passion
To be successful in this role you will need:
7+ yrs of total experience across software development and machine learning. At least 3+ years in Python backend development in Web/Cloud application along with established leadership credentials. 2+ years in Machine/Deep learning/AI.
Expertise in numpy, pandas, Scikit, TensorFlow, converting ML/DL/AI models to production ready, data processing & validation.
Prior experience of working on Analytics/Data Science projects (applications that manage and deploy ML/DL/statistical models to predict/prescribe) as a software developer or ML engineer.
Expertise in architecture, design and software development best practices.
Experience of software engineering for Machine Learning & its best practices.
Willing to specialize in Machine Learning Engineering instead of general roles like Data Scientist or backend dev. Motivated by scaling POC ML models to production level instead of constraining just to research driven ML POCs.
Have prior experience of implementing an application on Azure/AWS using microservices architecture; docker/containerization.
Have proficiency in Database (MySQL, PostgreSQL). Awareness of managed services like PostgreSQL, Redis.
Have deep understanding of Application and Infrastructure architecture and non-functional aspects like Performance, Scalability, Reliability, Availability etc.
Have good communication, Problem-solving skills, Collaboration, Influencing and articulation.
Have been a graduate of Computer Science or in STEM Majors (Science, Technology, Engineering, statistics, Math) or Data Scientist with programming background.
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward making it safer, cleaner and more efficient for people and the planet.
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Lets come together and take energy forward.
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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