Data Foundations
Join Data Foundations as an AI Developer Intern in Pakistan to work with LLMs, AWS AI services, and data platforms. Gain Python and React experience. Apply now
Data Foundations is an innovative company that offers an intelligent data platform combining semantics, ontologies, knowledge graphs, active metadata, and agentic AI. The platform lets organisations connect various data sources and query data using natural language, delivering governed and explainable answers quickly.
Responsibilities
- Develop and test features that use large language models, including prompt design, retrieval‑augmented generation, and simple agent workflows.
- Integrate AI services on AWS such as Bedrock, SageMaker, Textract, and Comprehend.
- Prepare, clean, and transform data with Python and SQL to build robust pipelines.
- Assess model outputs for accuracy, bias, and cost, maintaining detailed logs.
- Build responsive front‑end interfaces with React (or similar) and TypeScript.
- Create back‑end APIs using FastAPI, Flask, or Node.js.
- Manage relational and NoSQL databases like PostgreSQL, MySQL, and DynamoDB.
- Deploy services on AWS using Lambda, API Gateway, S3, ECS, and infrastructure‑as‑code tools (CDK, CloudFormation, Terraform).
- Write clean, well‑tested, documented code and participate in code reviews.
- Utilise Git and CI/CD pipelines for reliable deployments.
Who Should Apply
- Current or recent graduates (or master’s students) in Computer Science, Data Science, AI or related fields.
- Strong grasp of pattern recognition, neural networks, and machine‑learning model design.
- Familiarity with NLP concepts, embeddings, and language‑model fundamentals.
- Experience with PyTorch, TensorFlow, scikit‑learn, spaCy or Hugging Face is a plus.
- Comfortable working remotely in a collaborative, agile team using Git.
- Good analytical abilities, clear technical communication, and eagerness to learn emerging AI technologies.
How to Apply
Submit your application through the provided link on Rozee.pk. Include your CV and any relevant project or portfolio links.
To apply for this job please visit www.rozee.pk.
