Emerson Off Campus Drive for Graduate Engineer Trainee in Pune

20 vacancies
20,000 - 40,000

Emerson is hiring for the post of Graduate Engineer Trainee in Pune. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.

Company Name: Emerson 

Job Location: Pune

Job Role: Graduate Engineer Trainee 

Experience: 0-2 year's

Employment Type: Full Time

Selection Type: Online

Educational Qualifications:BS

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Job Responsibilities:

  • 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. 
 

Job Requirements:

  • 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

Preffered Skills:

  • 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. 

How To Apply:

  • Visit the official website/ click on given link below
  • Fill all the application details
  • Upload the updated Resume

Application Link: APPLY NOW