As an AI/ML Intern or Junior Engineer, you will assist in developing intelligent solutions by working on data analysis, model development, and integration of machine learning systems. This role offers the opportunity to learn from experienced professionals while contributing meaningfully to ongoing projects.
Key Responsibilities:
• Data Analysis: Assist in collecting, cleaning, and analyzing data to uncover insights and prepare datasets for model training.
• Model Development: Support the design and implementation of machine learning models and algorithms under the guidance of senior team members.
• Experimentation: Conduct experiments to evaluate model performance and contribute to the optimization of algorithms.
• Documentation: Help in documenting experiments, processes, and results to ensure clarity and reproducibility.
• Collaboration: Work with cross-functional teams to integrate AI/ML solutions into existing systems and processes.
• Learning: Engage in ongoing learning and development opportunities to enhance your understanding of AI/ML concepts and technologies.
Qualifications:
• Educational Background: Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• Technical Skills: Familiarity with programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Machine Learning Knowledge: Basic understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering).
• Analytical Skills: Strong problem-solving abilities with attention to detail and the ability to work with large datasets.
• Communication: Good verbal and written communication skills, with the ability to articulate complex concepts clearly.
• Team Player: Ability to work effectively in a collaborative team environment and take initiative in a fast-paced setting.
• Projects or Coursework: Experience with AI/ML projects or relevant coursework is a plus.
• Tools and Libraries: Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn is advantageous.
- Experience: Fresher/Experience
- Languages: English is mandatory, other languages are an added advantage.