Eaton Corporation Associate Engineer – Machine Learning Operations

If you’re looking for a dynamic opportunity in the rapidly growing field of machine learning, Eaton Corporation has exciting openings in 2025 for Associate Engineers in Machine Learning Operations. With a hybrid work model, this role offers flexibility while you engage in innovative projects that shape the future of technology. As a part of a global leader in power management solutions, you’ll collaborate with talented teams and contribute to designing cutting-edge machine learning models that address real-world challenges. This position not only promises to enhance your technical skills but also provides an environment that fosters professional growth and a sense of community. If you’re passionate about machine learning and eager to make an impact, read on to discover the key details of this position and how you can become a part of Eaton’s mission to improve the quality of life and the environment through the use of power management technologies.

Key Job Details

• Job Title: Associate Engineer – Machine Learning Operations
• Company: Eaton Corporation
• Location: Hadapsar, Pune, Maharashtra, India
• Employment Type: Full Time
• Education Requirement: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
• Date Posted: April 19, 2025
• Salary Package: As per Company Standards
• Application Link: Apply Here

About the Role

The Associate Engineer – Machine Learning Operations at Eaton Corporation is a pivotal role within the organization. You will be responsible for developing, training, and validating machine learning models tailored to meet specific business needs. This includes maintaining the infrastructure and tools necessary for deploying machine learning models at scale, which is crucial in today’s data-driven landscape. Your work will involve creating and managing data engineering pipelines and CI/CD pipelines, ensuring that machine learning models can be integrated seamlessly into existing systems. You’ll collaborate closely with data scientists and other engineers to streamline processes and enhance efficiency, while also adhering to best practices in software development. This role demands a proactive approach to problem-solving, as you will face challenges in productionizing machine learning software and need to adapt to rapid technological changes. Additionally, you will be expected to keep abreast of emerging technologies and trends in machine learning and cloud infrastructure, ensuring that Eaton remains at the forefront of innovation.

Required Skills

• Machine Learning Frameworks: Proficiency in frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential for developing robust models.
• Data Engineering: A strong understanding of writing data engineering pipeline code with coding best practices is crucial for efficiency.
• CI/CD Pipelines: Familiarity with CI/CD pipelines and containerization technologies like Docker and Kubernetes is necessary for deployment processes.
• Algorithm Knowledge: Understanding algorithms such as regression, classification, clustering, and deep learning will aid in model development.
• Cloud Infrastructure: Knowledge of cloud providers like AWS, Azure, or GCP is advantageous for deploying solutions in a cloud environment.
• Software Engineering Best Practices: Familiarity with version control, testing, and deployment practices is necessary for maintaining high-quality code.
• Analytical Skills: Strong analytical and problem-solving skills are critical for addressing complex challenges in machine learning.
• Communication: Excellent communication skills are vital for collaborating effectively with cross-functional teams.

Responsibilities

• Maintain infrastructure and tools required for deploying machine learning models at scale.
• Develop and maintain data engineering pipelines and CI/CD pipelines for machine learning models.
• Develop, train, and validate machine learning models to solve business problems.
• Address challenges in productionizing machine learning software, collaborating with data scientists for best practices.
• Maintain documentation and training materials for machine learning solutions.
• Stay updated with emerging technologies and trends in machine learning and cloud infrastructure.

Why Join Eaton?

Eaton Corporation is renowned for its commitment to sustainability and innovation. By joining the team, you will experience a vibrant company culture that values diversity, inclusion, and collaboration. Employees are encouraged to pursue professional development opportunities, and the company offers a range of benefits designed to promote work-life balance and enhance career growth. Eaton is dedicated to empowering its employees to make a meaningful impact, and as a part of the Machine Learning Operations team, you will play a crucial role in driving technological advancements that improve quality of life and environmental sustainability. This is a fantastic opportunity for individuals looking to contribute to significant projects while growing their careers in a supportive environment.

Industry Trends

The demand for machine learning expertise continues to rise across various industries, making this position particularly valuable in the current job market. As businesses increasingly rely on data-driven decisions to enhance their operations, the need for skilled professionals who can develop and implement machine learning solutions is critical. Positions like the Associate Engineer – Machine Learning Operations at Eaton not only provide a gateway to exciting projects but also ensure that you are at the forefront of technological advancements. With the hybrid work model gaining popularity, this role offers both flexibility and the chance to be part of a forward-thinking organization. As you consider applying for Eaton Machine Learning Job Openings 2025 – WFH (Hybrid), remember that you’re stepping into a field with immense growth potential and opportunities.

How to Apply

If you’re ready to take the next step in your career and join a leader in power management solutions, don’t miss out on this opportunity. Click the button below to apply for the Eaton Machine Learning Job Openings 2025 – WFH (Hybrid):

Apply Here