| QA - Quality Engineer /SDET || Phoenix,AZ Day 1 Onsite local only - Ex Amex too at Phoenix, Arizona, USA |
| Email: [email protected] |
| ---------- Forwarded message --------- From: <[email protected]> Date: Fri, Jun 14, 2024, 7:16 PM Subject: QA - Quality Engineer /SDET || Phoenix,AZ Day 1 Onsite local only - Ex Amex too To: Faisal Siddiqui <[email protected]> HI All, Need LOCAL, EX Amex QA - Quality Engineer /SDET Phoenix,AZ Day1 Onsite local only - Ex Amex too Experience in Automated Testing: Proficiency in creating and executing automated test scripts using tools like Selenium, JUnit, or similar. Strong API Testing Skills: Demonstrated experience in testing RESTful APls using tools such as Postman, or similar. Backend Testing Expertise: Solid understanding and hands-on experience with backend testing, including database validation and performance testing. Ul Testing Proficiency: Extensive experience in Ul testing with a keen eye for detail and knowledge of front-end technologies such as HTML, CSS, JavaScript, and related frameworks. Problem-Solving Skills: Strong analytical and problem-solving abilities with a proven track record of identifying, reporting, and tracking defects effectively. AI/ML Engineer : Proficiency in Programming: Strong coding skills in Python or similar languages commonly used in machine learning and data science. Generative Al Expertise: Experience in prompt engineering, familiarity with large language models (LLMs), vision-language models (VLMs), vector databases, and advanced techniques like Tree of Thought for enhancing model capabilities and performance. Experience with ML Frameworks: Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar. Knowledge of Algorithms: Deep understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques. Data Handling Skills: Expertise in data preprocessing, feature engineering, and handling large datasets using tools like Pandas, NumPy, or similar. Experience Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like GCP Thanks & Regards Mohd Faisal [email protected] www.signinsol.com To follow and receive more updates please Click Here -- Keywords: quality analyst artificial intelligence machine learning information technology Alabama Arizona Maryland QA - Quality Engineer /SDET || Phoenix,AZ Day 1 Onsite local only - Ex Amex too [email protected] |
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| Fri Jun 14 19:24:00 UTC 2024 |