Artificial Intelligence Engineer

Job Title: Artificial Intelligence Engineer

Company: Internmo

About the Role

• Structured remote internship for freshers interested in Artificial Intelligence.
• Provides practical exposure to developing AI-based solutions, working with machine learning models, processing data, and exploring modern AI technologies through hands-on projects.
• Duration: 3 Months
• Stipend: Up to ₹10,000 (Performance-Based)
• Type: Paid, Remote Internship

Key Responsibilities

• Assist in developing and implementing AI and machine learning solutions for practical use cases.
• Collect, clean, preprocess, and analyze datasets for AI and machine learning projects.
• Assist in training, testing, and evaluating machine learning models.
• Work with Python and libraries such as NumPy, Pandas, Scikit-learn, and similar tools.
• Explore and implement machine learning and deep learning techniques.
• Assist in developing AI applications using APIs, pre-trained models, and relevant AI frameworks.
• Explore areas such as Natural Language Processing, computer vision, Generative AI, and Large Language Models.
• Assist with model testing, debugging, performance evaluation, and optimization.
• Research emerging AI tools, frameworks, technologies, and industry applications.
• Document experiments, methodologies, results, and technical approaches clearly.
• Collaborate with remote team members to complete assigned AI projects and deliverables.
• Present project findings and communicate technical concepts clearly.

Requirements & Tech Stack

• Python
• NumPy
• Pandas
• Scikit-learn
• APIs
• AI frameworks
• Natural Language Processing
• Computer Vision
• Generative AI
• Large Language Models
• TensorFlow or PyTorch (beneficial)
• Git and version control (beneficial)

Qualifications

• Suitable for freshers with an interest in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related area.
• Basic understanding of AI and machine learning concepts.
• Basic knowledge of Python programming.
• Familiarity with NumPy, Pandas, and Scikit-learn is beneficial.
• Basic understanding of data preprocessing, model training, testing, and evaluation.
• Familiarity with Generative AI, LLMs, prompt engineering, or AI APIs is beneficial.
• Basic understanding of mathematics and statistics used in machine learning is beneficial.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch is beneficial.
• Basic knowledge of Git and version control is beneficial.
• Strong analytical thinking, logical reasoning, problem-solving ability, attention to detail, and willingness to learn.
• Good written and verbal communication skills.
• Ability to work independently in a remote environment while managing deadlines responsibly.