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Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Provide support in design and implementation of an AI platform
- Collecting experimental data to feed the machine learning solution
- Improving the ML model according to test data outcomes
- Adapting the ML pipeline to changes
- Participate in the cross-discipline design process
- Development of front end applications for pilot runs
- Support positive team interactions to accomplish program objectives
- Contributing to schedule & milestone commitments
Requirements
What you’ll need- Enrolled in bachelor’s or master's degree in Computer Engineering, Robotics, Electrical or Software Engineering
- Strong analytical/problem solving skills
- Comfortable with supporting in data preparation and creation of deep learning models
- Ability to work in team-based environment
- Working knowledge of machine learning libraries such as Numpy, Pandas, Tensorflow /Pytorch, Sci-kit Learn
- Familiarity with machine learning mathematical models like SVM, Linear Regression, Decision Trees, Neural Networks
- Moderate to high proficiency in Python
- Knowledge of algorithms and data structure
- Proficiency in Visual Studio
- Familiarity with source control systems such as Git and Github
- Knowledge of interfacing sensors/hardware with microcontrollers like Raspberry Pi, STM 32, Arduino
Benefits
Comp & perks- Hands-on, practical experience in an innovative engineering environment
- Opportunity to work with experienced professionals
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningPythonNumpyPandasTensorflowPytorchSci-kit Learnalgorithmsdata structures
Soft Skills
analytical skillsproblem solvingteamworkcommunicationcollaboration