Welcome to Eaton Recruitment 2025! Embark on a transformative journey as a Associate Engineer-MLOps. Join our dynamic team, where innovation meets expertise. Unlock your potential, work on cutting-edge projects, and shape the future of technology. Seize this opportunity to learn, grow, and make a lasting impact. Elevate your career with Eaton!
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.”
Job Highlights
Job Role: Associate Engineer-MLOps
Degree: BE/BTECH (CS/CE/IT), ME/Mtech (CS/CE/IT), MCA/MSc IT
Location: Pune
Batch: 2025
Experience: Freshers (0-2 years)
Key Responsibilities:
- 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 and Skills
Qualification: BE/BTECH (CS/CE/IT), ME/Mtech (CS/CE/IT), MCA/MSc IT
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.
How to Apply
Applying for this opportunity is a straightforward process:
1. Prepare Your Resume: Tailor your resume to highlight your relevant skills, coursework, or experiences.
2. Craft a Cover Letter: Write a compelling cover letter that showcases your enthusiasm for joining Eaton and outlines how your skills and experiences align with the role.
3. Submit Your Application: Visit the Eaton career portal and submit your resume and cover letter online. Be sure to check for specific application deadlines.
Conclusion
Elevate your career with Eaton 2025 Associate Engineer-MLOps. Join a dynamic team, where strong problem-solving, effective communication, and programming expertise thrive. Be part of innovative projects, learn from industry leaders, and contribute to transformative solutions. This is your opportunity to grow in a collaborative environment and make a meaningful impact. Seize the chance to shape your future with Eaton. Apply now for an enriching experience in the world of technology.