Duties Role Description: Tester in an agile team is responsible for more than just testing both Word Add-in & React Web app software. They will act as a quality champion and empower teams to create highly performant and secure systems. They act entrepreneurially to try unhappy paths and edge cases in functional testing to create a highly resilient system. They leverage combination of automated/ manual testing to efficiently cover the systems functionality without compromising quality. They are comfortable working in a constantly changing work environment and are fully dedicated to “automate everything” principle Responsibilities: Ensure every feature developed by the team is tested Blends automated/ manual testing to efficiently cover the system’s functionality without compromising quality Feeds the team with detailed information on any defects found, and help the Scrum master and Product Owner to prioritize defects Strives to automate and maintain comprehensive test suites with a continuous improvement mindset Works with the IT and operations to run tests in production environments after deployment to ensure quality Knows the product vision and works closely with the designers and the Product Owner to translate their vision into tests Partners with development teams to identify key areas of risk in new solutions Stays updated with industry best practices and standards on testing Actively participate in scrum ceremonies as needed to provide clarifications and problem solve with the team Skills Key Skills & Domain Skills: Significant experience as an exploratory/ hands-on tester with multiple platforms and testing techniques Experience with manual acceptance testing at story level, exploratory and creative testing, Skilled at finding hidden requirements, edge cases, and a “desire to break” attitude Experience implementing automated end-to-end tests, experience with frameworks and tools such as BDD, Appium, Selenium and the ability to code in Javascript Have a strong knowledge of testing GenAI application, LLM models, data pipeline Ability to test (manual and automated) Desktop Word Add-in app on both Windows & MacOS Ability to test (manual and automated) WebApp on difference browser and OS-es Agile/Digital Experience: Strong understanding of Agile methodologies Experience as a tester on a cross-functional agile team preferred Individual Skills: Strong communication skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Mindset & Behaviors: Passionate about technology and excited about the impact of emerging / disruptive technologies Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds Believes in culture of brutal transparency and trust Open to learning new ideas outside scope or knowledge skillset Talent to break things and find problems
Key Responsibilities Responsible for building linguistic models, prompt engineering for large language models (LLM) and designing user interfaces that facilitate natural language input and output. Utilize proven hands-on experience with GPT architectures to design, train, and customize models for LLM, image-to-text, and/or text-to-image projects. Designing and implementing cutting-edge generative models, with a focus on LLMs such as GPT, Transformer Models like Bert, Diffusion Models, to improve the performance and capabilities of LLMs. Collaborating closely with cross-functional teams to develop new and groundbreaking solutions that leverage LLMs. Staying up-to-date with the latest advancements in generative AI, NLP, and related fields, and integrating new techniques into our workflows. Proficient in software design patterns, object-oriented vs functional programming principals, inheritance, writing abstract, reusable, and modular code Well versed with Machine Learning concepts and hands-on experience with: Natural Language Processing Unsupervised and supervised learning pipelines (Classification, clustering, etc.) Recommendation algorithms NER (Entity recognition) Experience with neural networks and Deep learning algorithms is preferred Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems Work with an Agile mindset to create value across projects of multiple scopes and scale Independently think, problem-solve, and drive research and development initiatives in the field of LLM, GPT, and related areas. Stay up to date with the latest advancements in the field of ML, AI, and DS. Requirements A minimum of 3-4 years of industry experience in generative AI, with a focus on LLMs and NLP Bachelors or Masters degree in Computer Science or a related field Strong proficiency in Python coding and experience working with frameworks such as TensorFlow, PyTorch or Hugging Face. Extensive knowledge of Transformer Models like Bert and GPT, as well as experience with Diffusion Models. Familiarity with cloud computing and distributed systems, particularly AWS or Google Cloud Solid understanding of machine learning concepts, algorithms, and generative AI architectures. Effectively communicate complex ideas, and collaborate with cross-functional stakeholders. A strong passion for cutting-edge technologies and a drive to continuously learn and experiment with new approaches in the field of generative AI. Experience in data engineering, data warehousing, ETL development, or cloud data engineering. Strong SQL knowledge and excellent Python programming skills with expertise in relevant libraries. Proficiency in at least one cloud platform: Azure, AWS, or GCP and knowledge of advanced data engineering services Spark and Scala - Handson experience using the framework Ability to work independently and as part of a team If you are a talented and ambitious Generative AI Engineer with a passion for pushing the boundaries of language models and developing innovative applications, we would love to hear from you. Join our team and be at the forefront of transforming the future of AI-driven user experiences.
Key Responsibilities: Conduct feature engineering, data analysis, and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance. Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals. Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. Bring in latest advancements in ML and AI to drive innovation. Requirements: 3+ years of hands-on experience in Machine Learning and Deep Learning. Strong expertise in feature engineering, data exploration, and data preprocessing. Experience with imbalanced datasets and techniques to improve model generalization. Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. Strong mathematical and statistical knowledge with problem solving skills Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications: Experience with Big Data technologies (Hadoop, Spark, etc.). Familiarity with containerization and orchestration tools (Docker, Kubernetes). Experience in automating ML pipelines with MLOps practices. Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools. Why Join Us? Opportunity to work on cutting-edge ML solutions with real-world impact. A collaborative and innovative work environment. If you're passionate about Machine Learning and want to make a real difference, we'd love to hear from you!
We are looking for individuals with the following qualifications: Experience in React-based web application testing. Working knowledge of Drupal CMS. API automation experience (aplus preferred). Proficiency in Playwright with JavaScript or Python.