Artificial Intelligence Intern
Infera Studio
Pune Division, Maharashtra, IndiaFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Computer visionREST APIsMachine learningDeep learningData structures & algorithmsData analysis
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning68%REST APIs59%Deep learning19%Computer vision7%of 99 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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About the Role
Infera Studio is an applied AI engineering studio specializing in practical Computer Vision and Retrieval-Augmented Generation (RAG) solutions for businesses. The studio focuses on end-to-end AI engineering, from validating ideas and building prototypes to integrating custom models, APIs, and applications into existing products.
The Artificial Intelligence Intern will support the design, development, and evaluation of AI models and pipelines, with a focus on Computer Vision and RAG-based systems. This is a contract role and is fully remote.
Key Responsibilities
- Support the design, development, and evaluation of AI models and pipelines.
- Focus on Computer Vision and RAG-based systems.
- Conduct data exploration, preprocessing, and annotation.
- Implement and test machine learning and deep learning models.
- Assist in building retrieval and knowledge systems for real-world business use cases.
- Collaborate with engineers to prototype algorithms.
- Document experiments.
- Contribute to the integration of models into applications and APIs.
Requirements & Tech Stack
- Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
- Analytical skills for problem-solving, data analysis, and evaluating model performance using clear metrics.
- Knowledge of Data Science concepts such as data preprocessing, feature engineering, exploratory analysis, and visualization.
- Experience with Machine Learning, including supervised and unsupervised methods, model training, validation, and basic deployment workflows.
- Programming proficiency in Python.
- Familiarity with ML/AI libraries and frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Familiarity with Computer Vision or NLP/RAG workflows is highly beneficial, including working with image/video data or text retrieval pipelines.
- Ability to work independently in a remote setting.
- Clear communication skills.
- Effective time management.
- Ability to document work in a structured way.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related quantitative field.