Eaton is delighted to announce an exclusive off-campus drive for the highly sought-after role of Associate Engineer – Machine Learning. This exceptional opportunity is specifically designed for talented freshers and aspiring professionals eager to launch their careers in the dynamic field of Machine Learning. Successful candidates will be based at our state-of-the-art facility in Pune.
Eaton Off Campus Overview:
| Job Title | Associate Engineer Machine Learning |
| Qualification | B.E/B.Tech/BS/MCA/MS/MTech or any |
| Batch | 2026/2025/2024 or any |
| Salary | As Per Standard |
| Job Location | Pune |
| Venue Location | Online |
| Last Date | ASAP |
Job Description :
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.
• 0-2 years of experience.
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.”
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Required:
• 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.”
How To Apply:
The interested and eligible graduates register for the Eaton position on the following application link.
Eaton Apply Link: Click Here
