Software Intern (AI)
DataCore France
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Machine learningPythonREST APIsLLMsDeep learning
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python42%REST APIs38%Machine learning17%LLMs12%of 113 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
The Software Intern (AI) supports the design, development, deployment, and enhancement of product features, internal tools, and services powered by modern AI models and technologies. Interns will rotate across projects, gaining exposure to multiple areas of DataCore’s AI work. This role is ideal for students seeking hands-on experience applying artificial intelligence to real-world problems in a production software environment.
Key Responsibilities
- Work across multiple AI projects during the internship, partnering with mentors and other interns.
- Code, test, debug, document, and maintain software.
- Learn and apply current AI technologies across the product development lifecycle.
- Present outcomes and findings to the team.
- Maintain the highest level of standards and integrity.
Ideal Candidate Profile
Education & Experience
- 2027 Graduates / Final-year Bachelor’s or Master’s degree in Computer Science Engineering, AI & ML Engineering, Data Science, or a related field.
- Minimum GPA of 7+ or 70% and above.
Requirements & Tech Stack
- Proficiency in Python required.
- Familiarity with LLMs and AI APIs such as OpenAI or similar.
- Basic understanding of REST APIs.
- Basic front-end development skills.
Skills & Abilities
- Strong interest in AI/ML, with a basic understanding of concepts such as neural networks, deep learning, transformers, language models, embeddings, and model training/fine-tuning.
- Fast learner, self-motivated, and confident interacting with other interns and DataCore team members.
- Excellent written and verbal communication skills.
- Able to work independently, while comfortable asking for help when needed, and capable of completing assigned tasks on time.
- Strong problem-solving and algorithmic skills, demonstrated through competitive programming or personal projects, is a plus.
- Demonstrable interest in AI/ML through personal projects, research, hackathons, or open-source contributions.
- Continuous self-led learner, comfortable picking up new applications, repositories, and technologies through online sources.