Redford, MI

Engineer Jobs in Redford, MI

3 jobs found

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1mo ago

Senior Data Scientist / ML Engineer

Ford Motor Company Redford, MI

Redford, MI

1mo ago Closed

$133k - $251k/yr Full time Senior Artificial Intelligence Cloud

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Ford Motor Company is seeking a Senior Data Scientist / ML Engineer to help design and govern a data mesh strategy, build governed data products, and modernize cloud data workflows with AI and ML capabilities. This hybrid role is based in Redford, MI and includes leadership across federated governance, data pipeline engineering, and semantic layer design for enterprise data interpretation.

Key Responsibilities

Design and evolve Ford’s data mesh architecture across manufacturing and enterprise domains by defining domain boundaries, data product contracts, and interoperability standards.
Establish and maintain federated computational governance policies (schema standards, data quality SLAs, security classifications, lineage and retention requirements) applied consistently across decentralized domain teams.
Drive adoption of next-generation, cloud-native technologies and patterns (including GCP and Vertex AI, plus agentic AI and LLM orchestration) to modernize legacy workflows and support measurable business impact.
Lead the transformation of raw data landing in cloud platforms from Manufacturing systems into curated, documented, high-quality data products.
Define and enforce data product standards including ownership, schema versioning, SLAs for freshness, completeness, and accuracy, along with discoverability and access controls.
Oversee ingestion, transformation, and publishing pipelines for both batch and streaming to convert raw operational data into standardized, reusable assets.
Design and build data structures and semantic layers such as ontologies and knowledge graphs to support consistent enterprise interpretation by AI agents with minimal human intervention.
Design and develop data models (enterprise, conceptual, logical, and physical) for assigned domains, and manage and maintain those models in a shared repository.
Partner with product and analytics teams to translate use cases into data requirements, providing architecture guidance, data models, and design reviews.
Establish and enforce data architecture principles, standards, and best practices covering catalog, lineage, observability, security, and interoperability across data products.
Drive data quality initiatives by profiling source systems, defining data quality requirements and metrics, and guiding monitoring, measurement, reporting, and remediation.
Drive adoption of GCP as the technical backbone for the data mesh and data product ecosystem.
Evaluate and implement metadata management and data catalog solutions to improve discoverability and trust across the mesh.
Establish monitoring, observability, and SLA tracking for published data products.
Own and evolve the federated governance framework, balancing global standards with domain autonomy while ensuring compliance with Ford data security, privacy, and regulatory requirements.
Implement automated policy enforcement (schema validation, access control, metadata cataloging, lineage tracking) using GCP-native capabilities and third-party tooling.
Collaborate with cybersecurity, legal, and compliance teams to classify and protect sensitive manufacturing and enterprise data.
Ensure development patterns support Ford’s data security requirements and global privacy regulations through privacy and compliance by design.

Required Qualifications

Master’s degree in computer science, Information Systems, Data Engineering, or a related field (or equivalent combination of relevant education and experience).
5+ years of experience in data architecture, data engineering, or advanced database design and modeling, including exposure to large-scale manufacturing or industrial data environments, and experience designing or implementing databases, data warehouses, or data marts.
15+ years of experience leading, managing, or mentoring technical teams through direct people leadership, matrixed leadership, or lead/owner roles directing cross-functional teams.
Hands-on experience creating data models using data modeling tools.
Deep, hands-on experience with GCP technologies including BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, or similar cloud data engineering tools.
Demonstrated experience designing or implementing data mesh or domain-oriented data architectures.
Understanding of AI/ML capabilities, including experience modeling semantic layers, knowledge graphs, or ontologies for a data platform.
Knowledge of data governance, data quality, and data product marketplace enablement practices.
Proficiency in SQL and Python, plus modern data pipeline and orchestration tools.
Strong stakeholder management experience across plant floor operations teams and enterprise IT or analytics functions.

Technologies

GCP
Vertex AI
BigQuery
Cloud Storage
Dataform
Data Fusion
Astronomer
SQL
Python

Benefits

Immediate medical, dental, vision, and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

Role Overview

Job Type: Full time
Work Type: Hybrid
Location: Redford, MI
Salary Range: USD 132,800 - 250,800 per year
Leadership Level: 6

Additional Information

Final determination of salary grade will be based on candidate skills and experience, with base salary set within the applicable range according to job scope, responsibility, and competitive market value.
For more information on salary and benefits: https://fordcareers.co/LL6
Visa sponsorship is NOT available for this position.
Relocation assistance is NOT provided for this role.
Candidates must be legally authorized to work in the United States; verification of employment eligibility will be required at the time of hire.
#LI-On-Site #LI-DS2

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1mo ago

Robotics Engineer/Tech

InCycle Automation Redford, MI 🇺🇸 Remote

Redford, MI

1mo ago Closed

$57k - $85k/yr Full time Automation Engineering Mechatronics

This position is no longer accepting applications (closed Sep 30, 2026).

Job Description

Immediate openings for Robot Programmers focused on programming, controller setup, and commissioning support for robotic systems.

Responsibilities

Troubleshoot end-of-arm tooling equipment for robot arm systems
Set up and configure robot controllers
Perform I/O configuration and BitMap setup
Work with multiple robot manufacturer models
Develop robot programs, verify paths, and execute testing
Set up and verify robot zoning
Provide commissioning support for automation testing of robotic systems
Apply knowledge of electronics and control power
Troubleshoot basic electrical circuits and interpret electrical schematics
Apply basic mechanical knowledge during integration and support activities
Complete other duties as required

Requirements

Minimum 2 years of relevant experience
University/college degree in a related field (Electrical Engineering Technician/Technologist, Mechanical Engineering/T)
Ability to read and understand industrial electrical schematics
Understand electrical fundamentals, troubleshoot electrical circuits, and support control power systems
Interpret and apply line code (step logic) for robot programs
Basic knowledge of mechanical assemblies
Well organized with structured, professional presentation
Team player with strong communication and interpersonal skills
Experience or exposure with one or more robot manufacturers:
- Fanuc (priority)
- ABB
- Comau
- KUKA
Programming experience with applications including one or more of the following:
- Spot Welding
- Riveting
- Mig Welding
- Adhesive
- Material Handling
- Vision
3D vision is a plus
Capability for path development
Capable of entering, modifying, and/or adding robot logic to TP programs
Capable of adding files to robot controllers
Ability to understand, set up, and configure I/O
Capable of working individually or as part of a team
Availability to work evenings, weekends, and outside standard working hours as needed

Compensation and Location

Location: Redford, MI (remote)
Salary: USD 57,128 - 85,000 per year

Benefits

Health plan coverage
Dental insurance
Excellent wage and development incentives with an eligible retirement plan
Opportunity to travel (all expenses paid, plus extra travel incentives including travel bonuses)

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4mo ago

Senior Data Engineer

Ford Motor Company Redford, MI

Redford, MI

4mo ago Closed

$85k - $193k/yr Full time Senior Cloud Operations Data Analysis

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

The Senior Data Engineer role at Ford Motor Company in Redford, MI (hybrid) focuses on guiding the end-to-end data science lifecycle within manufacturing. The position involves designing machine learning models and scalable data pipelines, with strong cross-functional collaboration and technical leadership.

Overview

Location: Redford, MI, hybrid work arrangement. Compensation: USD 85,400 to 192,900 per year. Employment type: Full time; Work type: Hybrid. Education requirements include a bachelor's or foreign equivalent in computer science, information technology, or a technology-related field, plus a Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. An advanced degree such as a PhD in a relevant field is also specified. Minimum experience required: 5 years.

Responsibilities

Model Development: Design and implement advanced machine learning models for predictive maintenance, anomaly detection, and computer vision-based quality control.
End-to-End Pipeline Construction: Architect data pipelines from ingestion of sensor data and PLC logs to model deployment and monitoring using GCP and Python.
Statistical Analysis: Apply rigorous statistical methods to uncover patterns in manufacturing data that correlate with vehicle quality or equipment downtime.
Cross-Functional Collaboration: Partner with Product and Engineering teams to translate manufacturing challenges into technical requirements and deliver user-centric data products.
Technical Leadership: Serve as a subject matter expert within ATP, conduct code reviews, mentor junior scientists, and stay at the forefront of AI and ML research in industrial applications.
Scalability: Optimize models for production environments, advancing from localized pilots to global plant-wide deployments.
Data Strategy: Collaborate with data engineering to improve data collection protocols and sensor telemetry quality from the plant floor.

Requirements

Education: Bachelor’s degree or foreign equivalent in computer science, information technology, or a technology-related field; Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field; Advanced degree: PhD in a relevant field.
Experience: 5+ years of professional experience in a Data Science role with a proven track record of deploying models into production.
Technical Proficiency: Strong Python skills; proficiency in R and SQL is highly valued.
Machine Learning Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM.
Cloud Experience: Google Cloud Platform including Vertex AI, BigQuery, Dataflow.
Domain Knowledge: Time-series analysis, industrial IoT data, or manufacturing quality systems.
Deep Learning: Experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data.
MLOps: Familiarity with CI/CD for machine learning, containerization (Docker/Kubernetes), and model monitoring tools.
Communication: Ability to explain complex mathematical concepts to non-technical stakeholders such as plant managers and design leads.
Problem-Solving: A product-first mindset focusing on business impact of the model beyond mere accuracy metrics.

Technologies

Programming and analytics: Python, R, SQL
ML frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM
Cloud and data tools: Google Cloud Platform (Vertex AI, BigQuery, Dataflow)
DevOps and containers: Docker, Kubernetes

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members, along with management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous holidays including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

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Engineer Jobs in Redford, MI

Senior Data Scientist / ML Engineer

Robotics Engineer/Tech

Senior Data Engineer

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