Junior Professional AI Engineer

Freudenberg Management (Shanghai) Co. Ltd.; Morinda; On-site; INR 650,000 - 1,250,000; Full time

Job summary

Freudenberg Group in India seeks an early-career ML engineer to design, build, and maintain scalable ML models and APIs for seamless integration across platforms.

You will collaborate with software and data engineers, deploy multimodal AI systems using MLOps best practices, and implement inference systems for internal optimization across multiple domains. Responsibilities include model performance optimization, AI quality checks, governance, and security.

Qualifications

• University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• ≤ 2 years of experience; business knowledge: none.
• Advanced skills in Python, SQL, version control with Git.
• Advanced skills in understanding AI use case requirements.
• Advanced skills in Microsoft Fabric or Azure Cloud.
• Intermediate skills in MLOps tools including Docker, Kubernetes, model versioning and monitoring.

Responsibilities

• Design, build, and maintain ML models to work in scalable ML infrastructure and build APIs.
• Collaborate with software- and data engineers and deploy multimodal AI systems using MLOps.
• Implement inference systems for internal process optimization across multiple verticals.
• Optimize model performance for cost efficiency while maintaining accuracy and speed.
• Implement AI quality checks, validation processes, and data governance and security.

Skills

Python

SQL

Git

AI requirements

Education

Bachelors in CS/AI/ML

Tools

Azure Cloud

Microsoft Fabric

Docker

Kubernetes

Model versioning

Monitoring

Job description

Working at Freudenberg: We will wow your world!

Responsibilities:

Design, build, and maintain ML models to work in a scalable ML infrastructure and integrate their capabilities into existing platforms and build APIs for seamless model consumption.

Collaborate with software- and data engineers and deploy multimodal AI systems using MLOps best practices.

Implement inference systems for internal process optimization across multiple verticals and contribute to production-ready multi-agent systems.

Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements. Troubleshoot and resolve issues promptly.

Implement AI quality checks, validation processes, and error handling to maintain high quality standards.

Contribute to our Code of Ethics for AI and ensure data governance and security.

Stay updated with the latest ML tools and technologies and evaluate their suitability for the organization's needs.

Qualifications:

University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience

≤ 2 years ; Business knowledge: None

Advanced skills in Python, SQL, version control with git (must)

Advanced skills in understanding AI use case requirements

Advanced skills in Microsoft Fabric or Azure Cloud

Intermediate skills in MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems (nice to have)

Intermediate skills in Microsoft Copilot Studio (nice to have)

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.