Астана, Казахстан
just aura farmer. Beautiful Sigma with great muscles and great smile. Love u all my fellows. Let’s connect soon. Want to find a Physical Ai engineer bro
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Астана, Казахстан
just aura farmer. Beautiful Sigma with great muscles and great smile. Love u all my fellows. Let’s connect soon. Want to find a Physical Ai engineer bro

Remote · 1,200 to 1,700 USD Gross per month
A product and services team builds end-to-end technology solutions across domains, with a focus on AI, EdTech, and applications with strong user experiences. The role supports multiple products, connecting them to shared testing frameworks and maintaining automated test coverage. Responsibilities: • Develop and maintain Python API automated tests with pytest, httpx, Pydantic, and Allure; cover new endpoints, roles, negative cases, and boundary conditions. • Build and maintain UI automated tests in Playwright and TypeScript based on Zephyr cases, using Page Object patterns, responsive desktop, tablet, and mobile locators, and API-based setup. • Analyze nightly test runs, investigate and resolve flaky tests at their root cause, track known bugs, and support GitHub Actions. • Connect new products to multi-project test frameworks, update Locust scenarios, and review colleagues’ automated tests. • Perform manual testing as needed: verify features against requirements and designs, file bugs in Jira, participate in pre-release regression, and stabilize functionality before automation. Requirements: • At least 2 years in test automation, including at least 1.5 years of commercial Python test automation experience. • Strong pytest skills, including fixtures, scopes, parametrization, markers, hooks, and plugins. • REST API testing with httpx or requests, including authorization, multipart requests, and HTTP status code semantics; contract validation with Pydantic. • TypeScript and Playwright Test, including fixtures, projects, storageState, API context, trace viewer, Page Object patterns, and data-testid locator strategies. • Test design, data isolation and cleanup, and systematic flaky-test diagnosis without relying on sleeps or retries. • Git and CI experience with GitHub Actions or another CI system; user-level Docker skills; familiarity with ruff, mypy, or eslint. • Experience with Jira and Zephyr Scale or a similar test-management tool; familiarity with Allure. • Working Russian proficiency for writing tests and documentation in Russian. Optional: • Experience with Locust, SQL, monorepos, and multi-product frameworks. • Ability to read Laravel and Vue code; familiarity with WebKit and PWA. • Experience using AI assistants in accordance with repository rules.
Sapienza University of Rome, GLADIA Lab · Rome, Italy
Adversarial Attacks in LLMs
London
Machine Learning Engineer (Computer Vision) with a strong foundation in Python and PyTorch, and applied experience in data collection, preprocessing, model training, and evaluation. Worked on real-world Computer Vision problems including face spoofing detection, optical flow benchmarking, and object detection. Experienced in both independent research and collaborative teamwork, with strong problem-solving and communication skills

DSML Reading Club Meeting #10 Speaker: Arystan Shokan Arystan Shokan earned a master's degree in mathematics from Boston University. His main research interests are in geometry and topology, including algebraic geometry, complex geometry, algebraic topology, differential geometry, and combinatorial geometry. Arystan also wrote a survey paper on Combinatorial Hodge Theory. At this meeting, Arystan will talk about Topological Data Analysis (TDA). In the seminar, we will explore how Topological Data Analysis can be used to study the shape and structure of data, especially when periodicity and cyclic states are present. We will discuss the key ideas of homology, Laplacians, and Betti numbers. Prerequisites: Linear Algebra 📅 Thursday, October 1, 12:00 KZ Time ➕ Add to calendar: https://calendar.app.google/rY4ghKSXMTBAQx186 ⚠️ Important about the meeting link: Only those who add it to their calendar will get access to the meeting—the Google Meet link will be inside.
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At the tenth DSML Reading Club meeting, Arystan Shokan will discuss Topological Data Analysis and how to study data shape and structure.
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