Career
AI Engineer Intern
Technology
|
Intern
Technology
Intern
About Us
Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.
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Benefits
Hands-on experience working on AI products and enterprise-scale use cases.
Mentorship from experienced AI Engineers, Data Scientists, and Technical Leaders.
Exposure to ML Engineering, MLOps, GenAI, AI Platform, and Production AI systems.
Opportunity to contribute to projects that create business impact.
A collaborative environment focused on learning, innovation, and professional growth.
Other
Preferred Qualifications
Experience with SQL and data analysis.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Basic knowledge of Docker, Kubernetes, or CI/CD concepts.
Experience with LLM, RAG, AI Agents, Prompt Engineering, or GenAI projects.
Familiarity with Databricks, Apache Spark, Golang, C++, or Ray Framework.
Participation in AI competitions, hackathons, research projects, or open-source contributions.
Qualifications
Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related fields.
Basic understanding of Machine Learning, Deep Learning, or Generative AI concepts.
Familiarity with Python programming and AI/ML frameworks such as PyTorch or TensorFlow.
Understanding of prompt engineering concepts and LLM applications is a plus.
Basic knowledge of data structures, data processing, and software development practices.
Experience from coursework, personal projects, research projects, competitions, or internships related to AI/ML is preferred.
Familiarity with Git version control.
Strong analytical and problem-solving skills.
Eagerness to learn new technologies and work in a fast-paced environment.
Good communication and teamwork skills.
Responsibilities
Support the development of AI solutions using Machine Learning (ML), Deep Learning (DL), and Generative AI technologies.
Assist in building and improving ML pipelines, model serving components, and GenAI prompts under the guidance of senior engineers.
Develop AI and data workflows to support automation initiatives and business use cases.
Participate in data preparation, model experimentation, evaluation, and performance analysis.
Collaborate with cross-functional teams including AI Engineers, Data Scientists, Software Engineers, Product Owners, and Solution Architects to deliver AI solutions.
Contribute to code reviews, technical documentation, testing, and knowledge-sharing activities.
Learn and apply software engineering, MLOps, and AI development best practices in real-world projects.