Python AI Trainee
1 week ago
Job Title : Python AI Trainee (0-1 Year Experience)
Location : Udaipur
Job Type : Full time
Job Summary :
We are looking for a motivated Python + AI Trainee with 6 months-1 year of experience to join our dynamic team. In this role, you will gain hands-on experience in developing AI models and applications using Python. This is an excellent opportunity for individuals eager to start their careers in artificial intelligence and data science within a supportive environment.
Key Responsibilities :
- Assist in developing and implementing AI models using Python and popular libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Support data collection, pre-processing, and feature engineering to prepare datasets for model training.
- Write and maintain Python scripts for data manipulation and analysis.
- Collaborate with senior developers and data scientists to understand project requirements and deliver solutions.
- Participate in quality assurance processes to ensure data integrity and model accuracy.
- Contribute to the documentation of AI workflows, processes, and best practices.
- Assist in troubleshooting and optimizing AI models for better performance.
Required Skills and Qualifications :
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 0-1 year of experience with Python programming and data analysis (internships, projects, or coursework).
- Basic understanding of machine learning concepts and familiarity with libraries such as scikit-learn or TensorFlow.
- Knowledge of data pre-processing and manipulation techniques.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work effectively in a team-oriented environment.
- Willingness to learn and adapt to new technologies and methodologies in AI.
Preferred Qualifications :
- Experience through internships or projects involving Python for AI or data analysis.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI services is a plus.
- Exposure to big data technologies (e.g., Hadoop, Spark) is beneficial.
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