AI Engineer Intern

5 days ago

Mohali, India RChilli Inc. Full time

Job DescriptionRole - AI Engineer InternExp - 6 months - 1yearLocation - Mohali, PBWork Mode - Work from office ( 10-8pm IST)Position OverviewWe are seeking a highly motivated AI Engineer Intern to join our engineering team. Thisis an exciting opportunity to work alongside experienced engineers and researchers todevelop, train, and deploy AI models. You'll also explore and implement modern AI toolsto improve workflows and enhance productivity across internal teams.Key Responsibilities Assist in designing, developing, and testing machine learning models. Collect, clean, and preprocess datasets for training and evaluation. Perform exploratory data analysis (EDA) to extract meaningful insights. Implement and optimize algorithms using frameworks such as TensorFlow,PyTorch, or scikit-learn. Collaborate with cross-functional teams to integrate models into productionenvironments. Explore emerging AI tools and platforms (e.g., automation, NLP assistants,no-code AI, etc.) and evaluate their applicability to internal operations. Prototype and implement AI-driven solutions to streamline internalprocesses, such as documentation, data analysis, reporting, or workflowautomation. Document findings, models, and codebase to ensure reproducibility. Stay updated with the latest trends and advancements in AI/ML.Qualifications Currently pursuing a degree in Computer Science, Data Science, Engineering,Mathematics, or a related field. Solid understanding of machine learning concepts and algorithms. Proficiency in Python and common ML libraries (e.g., NumPy, pandas, scikit-learn). Experience with deep learning frameworks such as PyTorch or TensorFlow is aplus. Familiarity with NLP, computer vision, or time series analysis is a bonus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.Preferred Qualifications Previous project or internship experience in AI/ML. Interest or experience in productivity tools, automation, or process optimization. Knowledge of cloud platforms (AWS, GCP, or Azure). Experience with version control (e.g., Git) and collaborative development.

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