ML Software Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. Relocation may be provided.

Are you looking to be a part of a hardworking, passionate team that values innovation, creativity, and speed

There has never been a better time to work for General Motors!

In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM’s global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed, and business value.

About the Role:

A Global Purchasing and Supply Chain Software Engineer is delivering innovative design and outstanding code with maintainable unit and integration tests. Our developers work in agile, multi-functional, collaborative environments. All team members demonstrate GM’s Cultural Behaviors of accountability, collaboration, integrity, and inclusion.

Our ML Software Engineers use Machine Learning techniques to develop rapid iterative and incremental software solutions to address specific business needs

and with the goal of establishing significant improvements in the predictive capabilities and overall resiliency of GM's supply chain.

The ML Software Engineer will be involved in all phases of the design, development and production deployment of the solution, and is expected to work closely with senior ML Scientists, application development teams, and business users across the various phases of development to deliver accurate ML solutions that are well integrated with the overall business workflow solution.

Our role will demand a high level of design and coding to implement and deliver new systems and improvements. There will be ample opportunities to expand on your technical experience, with extensive exposure to the GM business teams and processes. ML Software engineers provide leadership and technical expertise to enable multi-layered solutions that comprehend and specify business, application, data and infrastructure designs. The ideal candidate for this role will possess a passion for technology and a desire to improve our application portfolio while maintaining their continuous availability.

Applicants should have strong core coding skills and some additional technical skills and proven track record with:

• Predictive modeling techniques based off time series analysis with very high dimensional data sets
• Full stack code delivery throughout the full software development lifecycle (SDLC)
• Agile Development Techniques
• Object Oriented analysis and design

• Experience with a Relational Database Management System (Postgres, SQL, Oracle, or similar)
• Modern development patterns and platforms (Microservices, Web Services (REST), Containers, Cloud Native)

Minimum Qualifications:

• Bachelor’s degree in computer science or related field, or, equivalent combination of education and recent, relevant work experience

• Proven experience as a Software Engineer on an Agile development team and solid understanding of Development methodologies (Reusable Code, Code Review, Unit Testing), Source control software (Git or TFS), CI/CD Technologies and Build pipelines
• Working knowledge of Java, Python, C++, TensorFlow, TensorRT, PyTorch
• Working knowledge of Machine Learning methodology and algorithms
• Expertise in DevOps & MLOps, Object Store (e.g. Amazon S3)

Additional Description

Preferred Qualifications

• Experience or knowledge with some or all of the following tools would be a plus :
• Solving analytical problems using quantitative approaches
• Working with large data sets, leveraging distributed computing tools (Map/Reduce, Hadoop, Hive, etc.)
• Frameworks like Spring family (including SpringBoot), Quarkus
• Azure DevOps and build and release pipelines
• Tanzu Cloud Foundry (PCF), Weblogic, WebSphere, Kubernetes, Docker