Emerson Off Campus Drive 2025 | Graduate Engineer Trainee – Software | Freshers

Emerson, a leading global technology and engineering company, is conducting an Off Campus Drive in 2025 for the position of Graduate Engineer Trainee Software. This drive is exclusively for freshers and will be held in Pune.
Emerson Off Campus Drive Pune Overview:-
Job Title | Graduate Engineer Trainee |
Qualification | B.E/B.Tech/ME/M.Tech or Related |
Experience | 0-2 Years |
Salary | 10 LPAnGlassdoor |
Job Location | Pune |
Venue Location | Online |
Last Date | ASAP |
Job Description:
Determine coding design requirements from function and detailed specification o Analyze software bugs and affect code repairs
Design, develop, and deliver specified software features
Produce usable documentation and test procedures
Deal directly with the end clients to assist in software validation and deployment
Explore and evaluate opportunities to integrate AI/ML capabilities into the LMS suite, particularly for predictive analytics, optimization, and automation.
Who You Are:
You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.
For This Role, You Will Need:
BS in Computer Science, Engineering, Mathematics or technical equivalent
0 to 2 years of experience required.
Strong problem solving skills
Strong Programming Skills (.NET stack, C#, ASP.NET, Web Development technologies, HTML/5, Javascript, WCF, MS SQLServer Transact-SQL).
Strong communication skills (client facing).
Flexibility to work harmoniously with a small development team.
Familiarity with AI/ML concepts and techniques, including traditional machine learning algorithms (e.g., regression, classification, clustering) and modern Large Language Models (LLMs).
Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in developing and deploying machine learning models.
Understanding of data preprocessing, feature engineering, and model evaluation techniques.
Preferred Qualifications that Set You Apart:
Experience with liquid pipeline operations or volumetric accounting a plus
Knowledge of oil and gas pipeline industry, also a plus.
Experience with cloud-based AI/ML services (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform) is a plus.
Apply As soon as possible on following registration link.
Apply Link: Click here to Register Emerson