Python senior backend

Python Backend Developer – AI & Machine Learning

Dataviv Technologies | AIOS Labs | Cyber City, Gurugram | Work from office

Dataviv Technologies is hiring a Python Backend Developer to build new features for our AI Operating System (AIOS). You’ll work directly with our CEO and engineering team to research ideas, build prototypes, and turn them into applications. A typical project might involve using YOLO to detect objects in images, making the results available through a FastAPI endpoint, and packaging the service with Docker so the team can deploy and test it.

What you’ll do

• Build and maintain Python backend services and REST APIs using FastAPI.
• Develop AI applications that use computer vision, machine learning, deep learning, and large language models (LLMs).
• Research models and tools, test them on representative data, and explain which approach best fits the feature.
• Take ownership of new AIOS features from prototype through testing, Docker deployment, and troubleshooting.
• Coordinate with other developers, communicate progress to the CEO, and flag technical issues early.

Required skills

• Hands-on experience with Python, FastAPI, and Docker.
• Practical knowledge of machine learning and deep learning, including experience using YOLO for object detection.
• Experience integrating LLMs into applications and connecting backend APIs to a user-facing app.
• Ability to work independently, debug problems, and learn new tools as a project requires.

Preferred skills

Knowledge of the Internet of Things (IoT), particularly connecting sensors or devices to Python services. Familiarity with Django, NumPy, Pandas, or Ollama is also welcome.

Location and availability

This role is based in our Cyber City, Gurugram office. Candidates should live in Gurugram or be willing to relocate for regular in-office work. The role requires flexibility to work overtime when project deadlines or deployments require it.

How to apply

Apply through Indeed with your CV and a short description of one Python or AI application you helped build. Tell us what the application did, which tools you used, and which part you personally developed. Include a GitHub or demo link if available.

Work Location: In person