Senior Computer Vision Engineer
Develops and deploys computer vision algorithms for image and video analysis that power product features. Suits an engineer with 5 or more years in computer vision who is strong in Python, deep learning frameworks and model deployment.
Remote · Pakistan
5+ years
Pay not stated
Full-time
Posted 17 Sept 2025What they ask for
Roadmaps and cheat sheets for this role
Matched to the skills and level this job asks for.
- RoadmapMachine learningData, models, deep learning
- RoadmapAI engineeringBuild products on LLMs and generative AI
- RoadmapSystem designSystems that scale
- Cheat sheetMachine learningData, models, deep learning.
- Cheat sheetAI engineeringBuild products on LLMs and generative AI.
- Cheat sheetSystem designSystems that scale.
Worth reading before you apply
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A beginner course that gives software engineers and students a clear, practical grounding in modern AI: core concepts, training a simple model, neural networks and deep learning, search algorithms, reinforcement learning, agentic AI, modern tools and prompting, and the ethics and hype around it all. It takes about five hours across 14 chapters with playgrounds and assessments, and needs no prior AI background.
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A course on AI system design interviews, from classic ML systems such as recommendations, ranking and fraud detection to LLM serving costs, RAG, generative AI products and agentic systems, with a repeatable framework and full case studies. It takes about 20 hours across 9 chapters. It suits engineers who can write code and know what a model, an API and a database are, and are facing design rounds that now include AI.
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The free, open companion to the Grokking the System Design Interview course, published as a GitHub repository. It teaches a pattern-first approach: learn building blocks such as caching, sharding, replication and queues well enough that any design question becomes a matter of combining them. It includes a seven-step interview framework, 30 patterns, 59 question walkthroughs, company guides, cheat sheets and study roadmaps, all readable in the browser without an account.
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An interactive practice tool for system design questions: you work through a real-world design step by step on a whiteboard and receive AI-powered feedback on your answer. Your practice sessions are saved with their status, so you can return to them and review results. It fills the gap most preparation leaves open, which is actually producing designs under realistic conditions rather than only reading worked answers.
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A six-stage path into paid remote AI data work, with a version for data annotation and one for AI trainers. It covers why models need people, the honest picture of pay, project gaps and scams, the guideline and quality skills platforms test, getting accepted, getting paid and keeping records, and moving up into reviewer, evals, data or ML roles. It suits students and graduates who want flexible remote income and read instructions carefully.
- Career
- AI
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A no-cost Databricks workspace for learning, with notebooks, SQL, Spark, jobs and Delta Lake tables, plus free self-paced courses from Databricks Academy. The easiest way to practise Spark and the medallion lakehouse pattern without a cloud bill.
- Programming
- Databases
- Cloud
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The full description, requirements and how to apply are on the company's own posting. This page is a summary so you can decide whether it is worth opening.
Verification
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Last checked 9 days ago (6 Oct 2026)
About the company
Karachi software development company delivering product engineering for US clients across health, media and commerce.
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