Jr Professional AI Engineer

Freudenberg Filtration; Morinda; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Freudenberg Filtration in India seeks a skilled ML Engineer to design, build, and maintain scalable ML models and integrate them into existing platforms via APIs for seamless model consumption.

You will collaborate with software and data engineers, deploy multimodal AI systems, and implement inference systems for internal process optimization while optimizing performance and ensuring high standards of AI quality and data governance.

Qualifications

• University degree in Computer Science, AI, Machine Learning, or a related field with a strong foundation in AI principles.
• 2 years of business knowledge.
• 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)

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 organizations needs.

Skills

Python

SQL

Git

AI use case requirements

Azure Cloud

MLOps

Model versioning

Monitoring systems

Microsoft Copilot Studio

Education

University degree in Computer Science / AI / ML or related field

Tools

Docker

Kubernetes

Model versioning

Monitoring systems

Microsoft Fabric

Azure Cloud

Job description

• 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 organizations 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
• 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)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.