Eaton Associate Engineer – Machine Learning Operations Hiring 2026 | Freshers | Hybrid | Bangalore



Eaton Corporation is hiring fresh graduates for the position of Associate Engineer – Machine Learning Operations (MLOps). This is an excellent opportunity for candidates who want to build a career in Artificial Intelligence, Machine Learning, Cloud Computing, and Software Engineering. As an Associate Engineer, you will work on developing, deploying, and maintaining machine learning solutions while collaborating with experienced engineers and data scientists on enterprise-scale AI projects.

About Eaton


Eaton is a global power management company operating in more than 175 countries. The company develops innovative technologies that improve the quality of life while making power safer, more reliable, and sustainable across industries such as electrical, aerospace, industrial, and automotive.

Job Details


Company: Eaton Corporation

Role: Associate Engineer – Machine Learning Operations (MLOps)

Job ID: 67191

Location: Bangalore, India

Work Mode: Hybrid

Experience: Freshers

Eligibility


• Bachelor's or Master's Degree in Computer Science, Software Engineering, or a related field.
• Fresh graduates with knowledge of Machine Learning and Software Engineering.
• Good analytical, communication, and problem-solving skills.

Key Responsibilities


• Develop and maintain Machine Learning deployment infrastructure.
• Build Data Engineering pipelines and CI/CD workflows.
• Train, validate, and deploy Machine Learning models.
• Collaborate with Data Scientists to productionize AI solutions.
• Maintain technical documentation.
• Research and adopt the latest MLOps and Cloud technologies.

Required Skills


• Python
• Machine Learning
• TensorFlow / PyTorch / Scikit-learn
• AWS / Azure / GCP
• Docker
• Kubernetes
• CI/CD Pipelines
• Data Engineering
• Version Control
• Software Engineering Fundamentals

Preferred Skills


• Hadoop
• Apache Spark
• Kafka
• DevOps Tools
• ELK Stack
• Grafana
• Prometheus
• Agile Methodology
• Data Warehousing

Why Join Eaton?


• Work on enterprise AI and Machine Learning projects.
• Gain practical experience in MLOps and Cloud Engineering.
• Learn from experienced AI professionals.
• Build scalable AI applications used globally.
• Hybrid work environment with excellent career growth.
• Opportunity to work for one of the world's leading technology companies.

Selection Process


• Online Application
• Resume Shortlisting
• Technical Assessment (if applicable)
• Technical Interview
• HR Interview
• Final Offer

How to Apply


Apply through the official Eaton Careers Portal uisng the link : Apply Now

Conclusion


If you're a fresher looking to start your career in Artificial Intelligence, Machine Learning, Cloud Engineering, or MLOps, this opportunity at Eaton is worth applying for. You'll gain hands-on experience with modern AI technologies, cloud platforms, and enterprise software while working alongside experienced professionals in a global organization. Apply early and kickstart your career with Eaton.

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Disclaimer

Software Jobs Daily shares job opportunities from official company sources. We are not involved in the hiring process. Candidates are advised to verify all details through the official company website before applying.

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