Emerson is inviting applications from motivated and skilled individuals for the role of Graduate Engineer Trainee under its Off Campus Drive 2025. This is an excellent opportunity for engineering graduates to begin their careers with a global leader in technology and engineering.
About Emerson:
Emerson (NYSE: EMR) is a global technology and software company providing innovative solutions for customers in industrial, commercial, and residential markets. With a strong focus on innovation, Emerson is committed to fostering a diverse, inclusive, and high-performance culture.
Job Details:
- Job Role: Graduate Engineer Trainee
- Qualification Required: B.E. / B.Tech
- Experience Level: 0–2 Years
- Eligible Batches: 2024 / 2025
- Location: Pune, India
- Compensation: ₹6 to ₹9 LPA (Expected)
- Last Date to Apply: As Soon As Possible
Key Responsibilities:
- Understand and analyze design requirements based on specifications
- Debug software and resolve issues through code updates
- Develop and deliver functional software components
- Create technical documentation and testing procedures
- Support validation and deployment by working with end clients
- Contribute to integrating AI/ML features in learning management systems
Candidate Profile – Skills and Qualities:
- Ability to act decisively in fast-paced situations
- Clear and adaptive communication across diverse stakeholders
- Goal-oriented approach and commitment to deadlines
- Strong analytical thinking with a structured problem-solving approach
- Team collaboration and adaptability to dynamic environments
Technical Skills Required:
- Programming: .NET stack, C#, ASP.NET, HTML5, JavaScript
- Web Services: WCF
- Databases: MS SQL Server, Transact-SQL
- Familiarity with AI/ML concepts including regression, classification, clustering
- Tools & Frameworks: TensorFlow, PyTorch, Scikit-learn
- Understanding of model deployment, data preprocessing, and model evaluation
Preferred (Not Mandatory):
- Exposure to liquid pipeline or volumetric accounting systems
- Knowledge of the oil & gas pipeline industry
- Experience with cloud-based ML platforms: Azure ML, AWS SageMaker, Google Cloud AI
How to Apply:
Interested and eligible candidates can apply using the link below. Applications will be reviewed on a rolling basis, so early submission is recommended.
Apply Online:
Click here to apply
Alternate Link:
Old Application Link