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Siemens  looking for dedicated Software Engineer Technical Intern wanting to have real-world experience in interdisciplinary research and development in the areas of Machine Learning based diagnostics tools.

Job Designation : Software Engineer Technical Intern

Qualification : Bachelors/Masters/PhD

Experience : Freshers

Skill Set :

1. Strong coding in programming languages (one or more of Python, R, etc.).
2. Familiarity with analytic packages like keras, tensorflow, scipy, numpy, pandas.
3. Strong theoretical and practical knowledge of statistics and machine learning frameworks.
4. Experience with applying Machine Learning on time-series data is a plus.
5. Good understanding of Object-Oriented Design and Design Patterns.
6. Strong communication and teamwork skills.
7. Creative mindset with a keen eye for detail.
8. Ability to manage multiple tasks and meet deadlines.
9. Eagerness to learn and adapt in a fast-paced environment.

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Job Description :

Technical Intern will be involved in development of statistical models and machine learning based models for analyzing biomedical data. The internship duration could extend from 3 to 6 months.

1. Analyze large, complex data sets by developing machine learning and deep learning pipelines on biomedical time-series data.
2. Collect, analyze, and interpret data.
3. Write codes/scripts to implement algorithms.
4. Read and understand technical literature (journal articles, publications, reports).

Location : Bengaluru, Karnataka, India