Software Engineer Intern

About TeMetaTech

At TeMetaTech, we help businesses build a powerful digital presence from creating websites and applications to implementing AI-driven solutions that transform customer experiences. We're passionate about digital transformation, automation, and next-gen AI technologies, and we're looking for curious minds to join us on this journey.

Role Overview

We are seeking a Junior Software Engineer (AI Intern) who is enthusiastic about AI, software engineering, and problem-solving. You will work closely with our development and AI research teams to build, test, and deploy innovative solutions that impact real businesses.

Key Responsibilities

Assist in designing, developing, and testing software applications (web, mobile, or backend).

Contribute to AI/ML model development, including data preprocessing, training, and evaluation.

Implement and optimize algorithms for real-world use cases.

Support the team in building APIs, automation scripts, and integrations.

Collaborate with senior engineers to debug, document, and improve code quality.

Stay updated with the latest trends in AI, cloud computing, and software engineering.

Requirements

Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, IT, AI/ML, or related fields.

Strong foundation in Python, JavaScript, or Java.

Familiarity with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) is a plus.

Knowledge of databases (SQL/NoSQL), APIs, and version control (Git/GitHub).

Problem-solving mindset and willingness to learn new technologies quickly.

Good communication and teamwork skills.

Preferred (Nice to Have)

Experience with cloud platforms (AWS, Azure, GCP).

Exposure to front-end frameworks (React, Angular, or Vue).

Understanding of MLOps and deployment pipelines.

What You'll Gain

Hands-on experience in real-world AI and software projects.

Mentorship from experienced engineers and AI professionals.

Exposure to end-to-end product development in a growing tech company.

Opportunity for a full-time role based on performance.