Artificial Intelligence Engineer
3 weeks ago
Experience - 2+ year. Freshers can apply at careers@ensylon.com
Technical Skills:
* Proficiency in Python or R: Familiarity with writing clean, efficient code and using libraries specific to AI, such as NumPy, pandas, and SciPy.
* Knowledge of scikit-learn: Use for classical machine learning algorithms and preprocessing tools.
* Proficiency in PyTorch: Understanding of deep learning and the ability to implement neural networks.
* Familiarity with Jupyter Notebooks: Efficient for experimentation and prototyping.
* Knowledge of Integrated Development Environments (IDEs) like PyCharm or Visual Studio Code: Useful for larger projects.
* Understanding of Git and GitHub: Ability to manage code repositories and collaborate with team members.
* Basic knowledge of RESTful APIs: For integrating AI models with other systems and applications.
* Understanding of basic algorithms and data structures: Essential for implementing efficient solutions.
Data Handling:
* Techniques for handling missing values, outlier detection, and data normalization: Ensures clean input data for models.
* Experience with data wrangling tools like pandas: For cleaning and transforming raw data into usable formats.
* Use of visualization tools (e.g., Matplotlib, Seaborn): For identifying trends and patterns in data.
* Knowledge of descriptive statistics: To summarize and understand data distributions.
* Proficiency in SQL: For querying and managing relational databases.
* Understanding of NoSQL databases like MongoDB: For working with unstructured data.
Analytical Skills:
* Strong analytical thinking: Ability to break down complex problems into manageable components.
* Logical reasoning: Essential for designing effective algorithms and solutions.
Qualification : BTech/BE/MCA
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