# AI Engineer

**Company**: Ford
**Location**: Chennai, Tamil Nadu
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/70493?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9309f33f-414

## Description

Enterprise Technology plays a critical part in shaping the future of mobility.

We are seeking a creative and driven Full-Stack Software Engineer to join our innovative team.

## Responsibilities

- AI & ML Development: Design, train, and deploy a variety of AI solutions, including classical machine learning models and advanced Generative AI workflows.

- Agentic Systems: Develop and productionalize AI agents capable of multi-step reasoning, tool-use, and integration with external APIs.

- Software Integration: Architect and build production-ready code to integrate AI/ML models into user-facing applications via RESTful APIs and microservices.

- Pipeline Engineering: Build and maintain scalable data and ML pipelines to automate model training, deployment, and versioning.

- MLOps & Governance: Implement model monitoring and governance frameworks to track performance, drift, and reliability in production.

- Cloud Engineering: Utilize GCP services to build, host, and scale AI applications in a serverless or containerized environment.

- Collaboration: Work within an Agile framework, collaborating closely with Product Managers and other engineers to deliver business value for our commercial customers.

## Qualifications

- Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field.

- Experience: 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment.

- Core ML Knowledge: Strong foundation in machine learning theory and practical experience with libraries such as scikit-learn, XGBoost, or PyTorch/TensorFlow.

- GenAI Stack: Hands-on experience with LLMs and orchestration frameworks.

- GCP Proficiency: Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run.

- Software Engineering: Proficiency in Python and a solid understanding of software best practices.

## Skills

### Required
- AI/ML Development
- Agentic Systems
- Software Integration
- Pipeline Engineering
- MLOps & Governance
- Cloud Engineering
- Collaboration
- Machine Learning
- Python
- GCP

### Nice to have
- Infrastructure as Code (IaC)
- CI/CD Pipelines
- Production Experience
- Communication

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/70493?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)