Strong Middle AI/ML Backend Engineer (Python, Computer Vision, LLMs)

Improveit Solutions is looking for a skilled Middle AI/ML Backend Engineer to join a long-term project focused on video analysis, metadata extraction, and the application of modern AI technologies such as Computer Vision and LLMs.

Requirements:

 • 4 + years of experience in backend and AI/ML development

 • Strong knowledge of Python, particularly for data processing and ML pipeline development

 • Hands-on experience with Computer Vision (image/video processing, object detection, etc.)

 • Practical experience with LLMs (e.g. Whisper, OCR, NLP pipelines)

 • Familiarity with MongoDB, REST APIs, and microservice-based architecture

 • Experience with deploying applications to cloud (AWS/GCP) or on-prem GPU environments

 • Understanding of DevOps practices, CI/CD, logging, and monitoring

Nice to have:

 • Experience with hybrid infrastructure (cloud + on-prem)

 • Understanding of video infrastructure: codecs, stream processing

 • Familiarity with multimodal AI systems (e.g. vision + NLP)

Responsibilities:

 • Develop and maintain AI-driven backend services using Python

 • Work on computer vision tasks (object detection, OCR, facial recognition)

 • Integrate and optimize NLP/LLM models

 • Design logic for metadata extraction from video

 • Collaborate with the frontend team (React) for end-to-end feature delivery

 • Optimize system performance under high load conditions

Tech Stack:

 • Languages/Frameworks: Python, FastAPI, MongoDB

 • AI/ML: Computer Vision, Whisper, LLMs, OCR

 • Architecture: Microservices, scalable backend, GPU-based infrastructure

 • Infrastructure: AWS / GCP / on-prem servers

 • Frontend (integration): React

About the Project:

An AI-powered platform that processes large volumes of video data, extracts frames, and applies advanced AI models (Computer Vision, LLMs, OCR) to generate metadata. This metadata is used to automate business workflows and drive data-driven decisions. The system combines rule-based logic with ML pipelines and supports both cloud and on-prem GPU deployments.