AI/ML Developer (Fresher)

Skillsets & Qualification

• Fresh graduate in Computer Science, Engineering, Mathematics, Data Science, or related fields (or equivalent practical experience).
• Strong understanding of basic AI/ML concepts, algorithms, and techniques.
• Proficiency in programming languages such as Python and knowledge of libraries like NumPy, Pandas, and Matplotlib.
• Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data manipulation, statistical analysis, and data visualization.
• Good understanding of linear algebra, calculus, and probability.
• Willingness to learn and adapt to new technologies in the AI/ML field.
• Ability to work in a team and communicate technical concepts effectively.
• Strong problem-solving and analytical thinking skills.

Responsibilities

• Assist in the development and deployment of machine learning models and algorithms.
• Work on data preprocessing, feature engineering, and data analysis tasks.
• Learn to design and implement ML models using popular libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Collaborate with senior team members to solve real-world problems with AI/ML techniques.
• Experiment with different AI/ML algorithms to improve model performance and accuracy.
• Develop data pipelines and automate processes to enhance data collection, cleaning, and analysis.
• Assist in the preparation of reports and documentation regarding model performance and insights.
• Participate in research and development of new techniques in machine learning and AI.
• Learn to deploy models and work with cloud-based platforms like AWS, Google Cloud, or Azure.