Overview

Position: AI/ML Engineer Intern

Responsibilities

• Develop and implement machine learning and AI models for real-world applications.
• Collect, clean, preprocess, and analyze datasets.
• Build and evaluate ML models using appropriate algorithms and techniques.
• Work with supervised and unsupervised learning techniques.
• Explore and implement Generative AI, NLP, Computer Vision, or LLM-based solutions where applicable.
• Perform model training, testing, evaluation, and optimization.
• Develop data pipelines and prepare datasets for machine learning.
• Integrate AI/ML models into software applications and APIs.
• Research new AI/ML technologies, frameworks, and methodologies.
• Collaborate with software developers and other team members.
• Document experiments, models, code, and technical findings.

Qualifications

• Good knowledge of Python.
• Understanding of Machine Learning fundamentals.
• Familiarity with NumPy, Pandas, Scikit-learn.
• Basic understanding of statistics and data preprocessing.
• Knowledge of SQL is an advantage.
• Familiarity with TensorFlow or PyTorch is preferred.
• Understanding of model evaluation and performance metrics.
• Basic knowledge of Git/GitHub.
• Strong problem-solving and analytical skills.
• Familiarity with OpenAI APIs or other AI APIs.
• Knowledge of NLP or Computer Vision.
• Knowledge of FastAPI or Flask for deploying ML models.
• Understanding of cloud platforms such as AWS, Azure, or GCP.
• Pursuing or recently completed a degree/diploma in Computer Science, AI/ML, Data Science, Engineering, or a related field.
• Students with strong practical projects are encouraged to apply.
• Candidates with a strong GitHub/project portfolio will be preferred.
• Hands-on experience working on real-world AI/ML projects.
• Exposure to modern AI and Generative AI technologies.
• Mentorship from experienced engineers.
• Opportunity to contribute to production-oriented projects.
• Certificate and potential full-time opportunity based on performance.

Benefits

• Leave encashment
• Paid sick time