Draup
https://draup.comAbout
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Python
JavaWe are looking for:
• 2+ years of expertise in software development with one or more of the general programming languages (e.g., Python, Java, C/C++, Go). Experience in Python and Django is recommended.
• Deep understanding of how to build an application with optimized RESTful APIs.
• Knowledge of a web framework like Django or similar with ORM or multi-tier, multi-DB-based data-heavy web application development will help your profile stand out.
• Knowledge of Gen AI tools and technologies is a plus.
• Sound knowledge of SQL queries & DB like PostgreSQL(must) or MySQL. Working knowledge of NoSQL DBs (Elasticsearch, Mongo, Redis, etc.) is a plus.
• Knowledge of graph DB like Neo4j or AWS Neptune adds extra credits to your profile.
• Knowing queue-based messaging frameworks like Celery, RQ, Kafka, etc., and distributed system understanding will be advantageous.
• Understands a programming language's limitations to exploit the language behavior to the fullest potential.
• Understanding of accessibility and security compliances
• Ability to communicate complex technical concepts to both technical and non- technical audiences with ease
• Diversity in skills like version control tools, CI/CD, cloud basics, good debugging skills, and test-driven development will help your profile stand out.
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PythonJavaJob Description
• Role: Quality Assurance Engineer – Automation (3–4 yrs)
• Location: Bengaluru
• Type: Full-time
Why this role? Join a fast-moving team that’s pushing test automation into the AI era. You’ll own end-to-end quality for web, mobile and API layers, combining Playwright (or similar) with next-gen, AI-driven test platforms to deliver smarter, faster releases.
What you’ll do
• Build & maintain automation with Playwright, Selenium, Cypress or equivalent
• Super-charge coverage using AI-powered tools
• Create, run and optimize manual, API (Postman/Rest Assured) and database (SQL) tests
• Triage results, file defects in Jira, and drive them to closure What you bring
• 3–4 years’ hands-on automation experience
• Strong with Playwright (preferred) or Selenium/Cypress and one scripting language (JS/TS, Python or Java)
• Familiarity with AI-based testing platforms
• Solid API testing & SQL skills; sound grasp of STLC and defect management
• Clear communicator with sharp analytical instincts
• Nice to have: BDD (Cucumber/SpecFlow), performance testing (JMeter/LoadRunner), TestRail/Zephyr, ML model validation Qualifications Bachelor’s in Computer Science, Engineering or related field What’s in it for you?
• Hands-on exposure to cutting-edge AI test automation
• Ownership and room to innovate in a collaborative, high-impact environment
• Competitive pay, flexible policies and a fun teaM
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Machine Learning (ML)Responsibilities
• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.
• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.
• Model Fine-Tuning and Transfer Learning:
Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.
• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.
• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).
• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.
• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes.
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A champion of Value SaaS, with its customer and security-first approach Appknox has won many awards and recognitions from G2, and Gartner and is one of the top mobile app security vendors in its 2021 Application security Hype Cycle report.
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Check out how CK-12 is making an impact in teaching and learning - https://www.ck12info.org/about/testimonials/
Flexi, our AI-powered Student Tutor - https://www.ck12.org/pages/student-tutor/
AI-powered Teacher Assistant - https://www.ck12.org/pages/teacher-assistant/
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