# AI/ML 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/67976?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3c1450bd-23e

## Description

We are looking for a highly skilled, technical, hands-on ML engineer with a solid background in building end-to-end AI/ML applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AI/ML.

The ML Engineer is expected to develop AI/ML Engineering Solutions, perform DevOps and work closely with other stakeholders (ML Engineers, Data Scientists, and Data Engineers) with key responsibilities to:

- Develop ML Platform to empower Data Scientists to perform end to end ML Ops.

- Work actively and collaborate with Data Science teams within Credit IT to design and develop end to end Machine Learning systems.

- Lead evaluation of design options, tools, and utilities to build implementation patterns for MLOps using VertexAI in the most optimal ways.

- Create solutions and perform hands-on PoCs.

- Develop end to end and scalable Generative AI solutions.

- Work with Suppliers, Google Professional Services, and other Consultants as required.

- Collaborate with program managers to plan iterations, backlogs, and dependencies across all workstreams to progress the program at the required pace.

- Collaborate with Data/ML Engineering architects, SMEs, and technical leads to establish best practices for data products needed for model training and monitoring considering regulatory policy and legal compliance.

The ideal candidate will have:

- Bachelor’s degree in computer science or related field.

- 8+ years of relevant work experience in solution, application, and ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations.

- Proven expertise with Vertex AI.

- Very strong with programming in Python.

- Knowledge of SQL (Relational & Non-relational).

- 5+ years of hands-on experience in Analytics, MLOps and Engineering Solutions for ML based models.

- Knowledge of enterprise frameworks and technologies.

- Strong in engineering design patterns, experience with secure interoperability standards and methods, engineering tools and processes.

- Strong in containerization using Docker/Podman.

- Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.

- Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc.

- Understanding of microservices architecture.

- Strong leadership, communication, interpersonal, organizing, and problem-solving skills.

- Strong in AI Engineering

- The candidate needs to possess necessary Cloud experience (necessary) - preferably in GCP.

- Demonstrated industry experience in developing end to end production grade AI/ML systems in both Traditional ML and Generative AI.

- Proficiency in Agentic AI frameworks.

## Skills

### Required
- Vertex AI
- Python
- SQL
- MLOps
- DevOps
- Docker
- Podman
- Cloud Security
- Microservices Architecture
- Agentic AI frameworks
- Generative AI

### Nice to have
- GCP - Professional Machine Learning Engineer certification

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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/67976?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)