Data Scientist-Intern
Job Summary
Job Description
This internship offers hands-on experience in Machine Learning/Deep Learning projects. You'll utilize Python, Azure ML pipelines, and frameworks like Tensorflow and Pytorch. Experience with large-scale data processing and model development is essential.
Must have:
- Machine Learning
- Deep Learning
- Python Programming
- Azure ML
Good to have:
- Tensorflow
- Pytorch
- ScikitLearn
- MatPlotlib
Perks:
- Global Community
- Future-led Businesses
16 skills required
Job Details
About the job
At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of over 47.000 pioneers around the globe. Our teams at Henkel Adhesive Technologies help to transform entire industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings. With our trusted brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.
Dare to make an impact?
Your Role
Dare to make an impact?
Your Role
- Managing Projects in Machine Learning/Deep Learning.
- Strong conceptual understanding of Machine Learning algorithms and Deep Learning concepts.
- Strong programming skills (preferably in Python) to process large-scale data sets and developing machine learning models.
- Knowledge of Azure ML pipelines for Data Science projects
- Masters in computer science/applied mathematics/AIML/Data Science OR BTech in Data Science/AIML.
- Expertise: Tensorflow, Pytorch, ScikitLearn, MatPlotlib ,Pandas, Dask, NumPy, OpenCV, Literature Review and Reading Research Papers.
- Good team worker with excellent communication skills written and verbal.
- Strong problem-solving skills with focus on design thinking and product approach.
- Have a drive to learn new technologies and techniques in the AI space.
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