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Ford Motor Company

AI Engineer

Ford Motor Company

. Design, train, and deploy AI solutions, including classification, regression, clustering, and Generative AI workflows .

Posted 9/15/2026full-timeChennai • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, training, and deploying AI solutions, with a strong foundation in machine learning and proficiency in Python. Capable of building scalable data pipelines and integrating AI/ML models into applications while ensuring model governance and performance monitoring.

Highest-signal resume keywords
AI/ML EngineeringModel DeploymentGoogle Cloud PlatformPython ProgrammingMachine Learning Theory

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningModel MonitoringAPI DesignData Pipeline DevelopmentModel GovernanceScikit-LearnXGBoostPyTorchTensorFlowTerraform
Soft Skills
Communication SkillsContinuous Learning
Tools & Technologies
GCP ServicesVertex AIBigQueryCloud RunLangChainLlamaIndexAutoGenTekton
Industry Keywords
Agile FrameworkCI/CD FrameworksAI SolutionsGenerative AIMulti-Step Reasoning

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformMicroservicesPythonPyTorchScikit-LearnTensorflowTerraform

About the role

Key responsibilities & impact
  • Design, train, and deploy AI solutions, including classification, regression, clustering, and Generative AI workflows
  • Develop and productionalize AI agents capable of multi-step reasoning, tool use, and integration with external APIs
  • Architect and build production-ready integrations of AI/ML models into user-facing applications via RESTful APIs and microservices
  • Build and maintain scalable data and ML pipelines for automated model training, deployment, and versioning
  • Implement model monitoring and governance frameworks to track performance, drift, and reliability in production
  • Use GCP services to build, host, and scale AI applications in serverless or containerized environments
  • Collaborate within an Agile framework with Product Managers and other engineers to deliver business value for commercial customers

Requirements

What you’ll need
  • Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field
  • 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment
  • Strong foundation in machine learning theory and practical experience with scikit-learn, XGBoost, or PyTorch/TensorFlow
  • Hands-on experience with LLMs and orchestration frameworks such as LangChain, LlamaIndex, or AutoGen
  • Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run
  • Proficiency in Python
  • Understanding of API design, Git version control, and unit testing
  • Experience with Terraform for provisioning and managing cloud infrastructure
  • Experience with Tekton or similar cloud-native CI/CD frameworks for automating ML workflows
  • Proven track record of taking an AI agent or ML model from prototype to a stable, monitored production environment
  • Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical partners
  • Strong desire for continuous learning and upskilling in the rapidly evolving AI landscape

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Ford Motor Company Website LinkedIn All Job Openings 10,000+ employees Founded 1903 📦 Logistics 💼 Consulting 📣 Marketing 💰 Post-IPO Debt on 2023-08 Logistics
  • Consulting
  • Marketing Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape. AI Engineer 🔥 1 hour ago 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 👻 Ghost score 10% BigQuery Cloud Google Cloud Platform Microservices Python PyTorch Scikit-Learn Tensorflow Terraform Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Design, train, and deploy AI solutions, including classification, regression, clustering, and Generative AI workflows
  • Develop and productionalize AI agents capable of multi-step reasoning, tool use, and integration with external APIs
  • Architect and build production-ready integrations of AI/ML models into user-facing applications via RESTful APIs and microservices
  • Build and maintain scalable data and ML pipelines for automated model training, deployment, and versioning
  • Implement model monitoring and governance frameworks to track performance, drift, and reliability in production
  • Use GCP services to build, host, and scale AI applications in serverless or containerized environments
  • Collaborate within an Agile framework with Product Managers and other engineers to deliver business value for commercial customers 🎯 Requirements
  • Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field
  • 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment
  • Strong foundation in machine learning theory and practical experience with scikit-learn, XGBoost, or PyTorch/TensorFlow
  • Hands-on experience with LLMs and orchestration frameworks such as LangChain, LlamaIndex, or AutoGen
  • Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run
  • Proficiency in Python
  • Understanding of API design, Git version control, and unit testing
  • Experience with Terraform for provisioning and managing cloud infrastructure
  • Experience with Tekton or similar cloud-native CI/CD frameworks for automating ML workflows
  • Proven track record of taking an AI agent or ML model from prototype to a stable, monitored production environment
  • Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical partners
  • Strong desire for continuous learning and upskilling in the rapidly evolving AI landscape Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Analyst – AI Engineer 🕒 July 21 Dun & Bradstreet 5001 - 10000 💼 Consulting 📣 Marketing 💸 Finance Website LinkedIn All Job Openings Senior Analyst - AI Engineer responsible for developing automation and analytics solutions for Dun & Bradstreet. Collaborating with global teams to deliver AI use cases and enhance operational efficiency. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer Amazon Redshift BigQuery Cloud Flask Numpy Pandas PySpark Python SQL Senior Gen AI Engineer 🕒 June 12 Dun & Bradstreet 5001 - 10000 💼 Consulting 📣 Marketing 💸 Finance Website LinkedIn All Job Openings AI Engineer designing, building, and operationalizing AI driven solutions for Dun & Bradstreet's global Analytics organization. Collaborating with data scientists and engineers on scalable applications. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Docker Google Cloud Platform PySpark Python Senior Lead – Snowflake, AI Engineering 🕒 February 25 Core Talent Finder 1 - 10 💼 Consulting 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Senior Lead for Snowflake & AI Engineering at a fast-growing tech consulting firm. Focusing on scalable data platforms and AI-powered analytics solutions in a hybrid model. 🏢🏡 Chennai – Hybrid 💵 ₹2.5M - ₹3.8M / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer Python SQL Vault AI Engineer, Databricks 🕒 January 28 Getinz 51 - 200 💼 Consulting 📣 Marketing 📦 Logistics Website LinkedIn All Job Openings Databricks AI Engineer designing and optimizing AI/ML solutions for global digital transformation firm using Databricks. Collaborating with teams on high-performance digital platforms. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer Python SQL View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs