Posted by Eaton Careers Early Entry Level Fresher 2025 Hiring: Eaton is looking for fresher student for the Profile of Associate Engineer. If you want to work in Pune location and Interested for the required for profile. You can apply for the Associate Engineer Job.
Eaton Careers Pune Job Opening-Description:
| Company Website: | Eaton Careers Job Portal link |
| Job Type: | Full-Time |
| Hire Type: | Associate Engineer |
Eaton Careers Fresher Job: Hi Students, if you are recent graduate and want to work in Big Companies then you have to skill your knowledge on cutting edge tool & software.
Interested and Eligible candidate can apply for the above profile. You have to read the article carefully before apply the profile. There are eligibility criteria, skills required for the required profile, experience or fresher, location, and etc.
Candidate can apply for the profile of Associate Engineer. The apply link is below the article. You have to fill all the required area and submit carefully. Please, submit your working mobile number and email id because you will get the response back from company in the registered email id.
Eaton Entry Level Pune Fresher Job Vacancy Update:
| Company Name: | Eaton |
| Job Profile: | Associate Engineer |
| Job Location: | Pune |
| Experienced Required: | Fresher |
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Eaton Careers is hiring Associate Engineer for the Pune location. If you are looking job in Pune then It is good opportunity for you. Please check all the eligibility criteria and apply though the original Eaton Careers Job Portal.
About Eaton:
Eaton is power management company with 2018 sales of $21.6 billion. We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent, and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.”
“• Maintain the infrastructure and tools required to deploy machine learning models at scale.
• Develop and maintain Data Engineering pipelines, continuous integration, and deployment (CI/CD) pipelines for machine learning models.
• Develop, train, and validate machine learning models to address business needs.
• Understanding the challenges in productionizing machine learning software and collaborating with data scientists to ensure that the software best practices, templates and other MLOps principles are integrated to reduce cycle time.
• Develop and maintain documentation and training materials for machine learning solutions.
• Keep up to date with emerging technologies and trends in machine learning and cloud infrastructure.”
Qualifications:
• Requires a minimum of a Bachelor level degree in computer science or equivalent software engineering discipline.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
Skills:
“• Fresher with understanding in machine learning, software engineering, or related field.
• Understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Understanding of writing data engineering pipeline code with coding best practices.
• Understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
• Understanding of algorithms such as regression, classification, clustering and deep learning.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with other teams.”
• Fresher with understanding in machine learning, software engineering, or related field.
• Understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Understanding of cloud infrastructure such as AWS, Azure, or GCP.
• Understanding of writing data engineering pipeline code with coding best practices.
• Understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
• Understanding of algorithms such as regression, classification, clustering and deep learning.
• Understanding of software engineering best practices, including version control, testing, and deployment.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with other teams.
• Ability to manage multiple projects and priorities in a fast-paced environment.
Desired Expertise (in one or more of the following areas):
• Professional certification in Machine Learning or related field.
• Understanding of data engineering and data warehousing concepts.
• Understanding of big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with DevOps practices and tools.
• Familiarity with monitoring and logging tools such as ELK, Grafana, or Prometheus.
• Familiarity with Agile methodologies.”
In this article, you will get the online apply link of Eaton Careers. You have to create an account on Eaton Job Portal with email id and other social media platform because if you are selected for the required profile then they will send the email for further rounds so keep check your registered email id.
How to apply for Eaton Careers Fresher Job for Associate Engineer?
Online Apply Link of Eaton Pune Job: Click Here