At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.
We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.
Job Qualifications :
- Master’s or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.
- 4+ years of experience with software engineering best practices in a team of 6+ engineers
- 2+ years working within public cloud ecosystems (AWS, GCP, or Azure)
Technical Skills :
- Strong programming skills in Python.
- Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices
- Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery
- Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.
- Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
- Core concepts of modern NLP or Computer Vision modeling techniques
- Familiarity with best practices in deep learning
- Strong technical writing and oral english skills
- Preferred Qualifications: _
- Git and best practices in GitHub
- Test and Behavior Driven Development
- OS: Linux shell scripts
- Experience with Google Cloud Platform
- Experience with front-end and back-end technologies (React, Angular, Node.js) for developing integrated data access and visualization layers
- High-level proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform
- Strong knowledge of CI/CD pipelines and automation frameworks to enhance development workflows
Leadership Skills :
- Proven ability to build and lead high-performing engineering teams
- Strong understanding of security best practices and principles
- Experience implementing data governance frameworks and security measures
- Excellent problem-solving and troubleshooting skills
- Outstanding communication, collaboration, and presentation abilities
- Demonstrated success delivering complex projects under aggressive timelines
- Previous experience in manufacturing or automotive preferred
Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.
Responsabilities :
- Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
- Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
- Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
- Fulfill problem formulation and ML technique consulting requests in a timely manner.
- Communicate and present analytical models to business customers and executive management.
- Work collaboratively with different business partners and be able to present results in a clear and concise manner.
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We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.
Job Qualifications :
- Master’s or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.
- 4+ years of experience with software engineering best practices in a team of 6+ engineers
- 2+ years working within public cloud ecosystems (AWS, GCP, or Azure)
Technical Skills :
- Strong programming skills in Python.
- Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices
- Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery
- Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.
- Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
- Core concepts of modern NLP or Computer Vision modeling techniques
- Familiarity with best practices in deep learning
- Strong technical writing and oral english skills
- Preferred Qualifications: _
- Git and best practices in GitHub
- Test and Behavior Driven Development
- OS: Linux shell scripts
- Experience with Google Cloud Platform
- Experience with front-end and back-end technologies (React, Angular, Node.js) for developing integrated data access and visualization layers
- High-level proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform
- Strong knowledge of CI/CD pipelines and automation frameworks to enhance development workflows
Leadership Skills :
- Proven ability to build and lead high-performing engineering teams
- Strong understanding of security best practices and principles
- Experience implementing data governance frameworks and security measures
- Excellent problem-solving and troubleshooting skills
- Outstanding communication, collaboration, and presentation abilities
- Demonstrated success delivering complex projects under aggressive timelines
- Previous experience in manufacturing or automotive preferred
Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.
Responsabilities :
- Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
- Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
- Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
- Fulfill problem formulation and ML technique consulting requests in a timely manner.
- Communicate and present analytical models to business customers and executive management.
- Work collaboratively with different business partners and be able to present results in a clear and concise manner.
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