AIMachine Learning Intern Failure Analysis
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
In this role you will work in a lab environment work closely with engineers data scientists and cross-functional teams to develop and implement AI and ML solutions aimed at identifying diagnosing and predicting product failures. You will be actively involved in various stages of the ML pipeline from data collection and preprocessing through exploratory data analysis and feature engineering to model training validation and deployment.
- MS or above in Computer Science Robotics Electrical Engineering or a related field.
- Strong programming skills in Python or a similar language.
- Experience in data analysis and machine learning with proficiency in libraries such as TensorFlow PyTorch Scikit-Learn etc.
- Solid understanding of statistical methods and algorithms.
- Excellent problem-solving skills and critical thinking abilities.
- Strong communication skills with the ability to explain complex technical concepts clearly and concisely.
- Experience or coursework in computer vision or natural language processing (NLP) models.
- Knowledge of hardware or software components and understanding of common failure modes.
- Proficiency in using data visualization tools such as Tableau PowerBI or similar.
- Experience in developing and deploying 2D/3D computer vision models or language models
- Knowledge of databases and proficiency in SQL or similar query languages.
- Experiences on developing and deploying frontend/backend projects.
Required Experience:
Intern
Key Skills
- Campaigns
- Abinitio
- AutoCAD 3D
- Hardware & Networking
- Customer Support
- Arabic
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
