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IT Software Engineer – Remote

Ford Motors

This is a Full-time position in Las Vegas, NV posted May 10, 2022.

At Ford Motor Company, we believe freedom of movement drives human progress.

We also believe in providing you with the freedom to define and realize your dreams.

With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Global Data Insight Analytics organization is looking for a Natural Language Processing/Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science/AI/ML platform.

This role will work in a small, cross-functional team.

The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often.

The team you will be working on is focused on building Mach1ML platform
– an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (like Uber’s Michelangelo, Facebook’ and FBLearner).

In this position, you will gain experience in Natural Language Processing (NLP) concepts by developing and/or supporting Question Answering (QA) systems.

You will also be exposed to data science procedures and algorithms for ML and NLP.

What you’ll be able to do: Work closely with Product Manager and Product Owner to deliver machine learning use cases using agile methodology.

Lead and work with software and ML engineers to tackle challenging AI problems.

Work specifically on the integration team to drive forward Platform integration and AI/ML adoption with other internal and external systems.

Help innovate by researching innovative algorithms.

Share knowledge with the team.

Act as a consultant to the business vs.

an order taker.

Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.

Demonstrate latest ML/NLP/ GCP technologies.

Drive software craftsmanship, SOLID principles, 12 factor applications.

Learn and emphasize the importance of GDIA’s 10 data tenants.

The minimum requirements we seek: A Bachelor’s degree in Computer Science, Electrical Engineering, or related field 5 years of software engineering experience 5 years of relational database experience with MongoDB or SQL 3 years of Angular experience 3 years of Java Spring Boot experience Our preferred requirements: Master’s degree in Computer Science, Electrical Engineering, or related field Previous experience with Ford standard development processes, tools, technologies.

Knowledge of Google Cloud Platform
– specifically the AI Platform and other GSP AI/ML services.

Experience in delivering machine learning software products using iterative approach Experience in programming concepts such as Paired Programming, Test Driven Development, etc.

Experience in supporting continuous improvement by investigating development alternatives.

Experience applying agile practices to solution delivery.

Experience with Machine Learning Technologies.

Experience and good understanding of Machine Learning / Deep Learning Models / Python / Natural Language Processing and MLOps for production environments.

Previous experience with Platform as a service (PaaS) such as Pivotal Cloud Foundry (PCF).

Understanding or desire to learn end to end Machine Learning technology stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, SeldonCore, GCP, Jupyer Notebook, HPC, Hive, Hadoop).

Strong soft skills of communication, ability to share/teach others, work collaboratively with others etc.

Good understanding of cloud design considerations and limitations and impact of pricing.

Prior experience working with container technology, docker files, docker images, GitHub, CI/CD concepts.

Experience in all phases of the development lifecycle.

Must be team-oriented and have excellent oral and written communication skills.

Good organizational and time-management skills.

Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

Open to learning new technology.

Knowledge of coding and best practices.

What you’ll receive in return: As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more.

You’ll also experience exciting opportunities for professional and personal growth and recognition.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States permanently.

Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce.

All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

For information on Ford’s salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2021-benefits-and-comp-GSR-sal-plan-2.pdf At Ford, the health and safety of our employees is our top priority.

Vaccination has been proven to play a critical role in combating COVID-19.

As a result, Ford has made the decision to require U.S.

salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons.

Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen.

As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.

LI-Remote