Log In
Sign Up
About Company :
Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
Job Description :
To add to our competent team, we are looking for a trustworthy graduate engineer trainee. Along with helping other engineers with projects, conducting research, and writing reports, the graduate engineer trainee will be in charge of finishing all tasks given to them by the supervisor. Along with being able to follow directions, you should also be able to think creatively and independently.
A growth mindset and a dedication to lifelong learning are essential for success as a graduate engineer trainee. Promising applicants should be keen observers, eager to interact with engineers outside of their field of expertise, and willing to help wherever possible.
1000 + Free Resume & Cover Letter Templates : Click here
Key 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.
Skills and Attributes
- 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.
