Job Summary: We are seeking a detail-oriented and highly skilled Senior QA Automation Engineer to join our growing team. The ideal candidate will have a strong background in automated testing , excellent analytical skills, and a passion for delivering high-quality software. You will be responsible for designing, developing, and maintaining automation frameworks and ensuring our applications meet the highest standards of reliability and performance. Key Responsibilities: Design and develop scalable, maintainable, and efficient automation test frameworks for web, mobile, and API-based applications. Create, execute, and maintain automated test scripts using tools like Selenium, Cypress, Playwright, TestNG, or JUnit . Collaborate with developers, product managers, and DevOps teams to understand application workflows and build effective test strategies. Integrate automated tests with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.). Perform code reviews and ensure adherence to quality standards. Analyze test results, identify bugs, and log detailed defect reports. Contribute to the continuous improvement of QA processes and methodologies. Mentor junior QA engineers and promote best practices in test automation. Required Skills and Experience: 5–7 years of experience in QA Automation with a strong focus on test script development and execution. Proficiency in one or more programming languages: Java, Python, JavaScript, or C# . Hands-on experience with automation tools such as Selenium WebDriver, Cypress, Playwright, RestAssured, Postman . Strong understanding of API testing and tools like Postman, Swagger, SoapUI . Experience with BDD/TDD frameworks like Cucumber or SpecFlow . Solid understanding of SDLC , Agile/Scrum methodologies, and QA best practices. Familiarity with version control systems (Git) and CI/CD tools (Jenkins, GitHub Actions, CircleCI). Experience with test management tools like JIRA, TestRail, or Zephyr . Excellent problem-solving skills and attention to detail. Strong verbal and written communication skills. Show more Show less

We are looking for a dynamic Business Analyst (BA) with 3 to 6 years of experience to work at the intersection of business strategy and advanced technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs). This role requires a blend of analytical thinking, technical acumen, and communication skills to translate complex business challenges into cutting-edge technology solutions. The ideal candidate will collaborate with stakeholders, technical teams, and leadership to drive innovation and deliver impactful applications powered by AI/ML. Responsibilities Business and Requirement Analysis: Engage with stakeholders to identify business challenges, gather detailed requirements, and explore opportunities for leveraging AI/ML and LLM solutions. Conduct process analysis, gap analysis, and feasibility studies to align business needs with technological capabilities. Document clear, actionable functional and technical requirements, including user stories, workflows, and acceptance criteria. Build business cases and cost-benefit analyses to prioritize AI/ML initiatives. AI/ML and LLM Project Management: Collaborate with data scientists, AI/ML engineers, and developers to conceptualize, design, and refine AI/ML-driven solutions. Define business logic, model objectives, and evaluation criteria for AI/ML and LLM implementations. Assist in developing prototypes and proofs-of-concept to validate the feasibility and impact of solutions. Stay abreast of advancements in AI/ML and LLM technologies to identify new opportunities for business transformation. Stakeholder Communication and Collaboration: Act as the primary liaison between business units and technical teams to ensure alignment on objectives, expectations, and deliverables. Facilitate workshops, brainstorming sessions, and reviews to gather inputs and validate requirements. Prepare comprehensive reports, dashboards, and presentations to communicate progress, insights, and recommendations to stakeholders. Work with product managers to shape feature roadmaps and prioritize technology initiatives. Data-Driven Insights and Strategy: Collaborate with teams to define key performance indicators (KPIs) for evaluating the success of AI/ML solutions. Analyze datasets to uncover insights, identify patterns, and support data-driven decision-making. Use data visualization tools like Tableau, Power BI, or similar platforms to create interactive dashboards for monitoring AI/ML model performance. Provide strategic input on leveraging AI/ML to optimize workflows, improve customer experiences, and enhance operational efficiency. Testing, Implementation, and Monitoring: Collaborate with QA teams to design and execute test cases for validating AI/ML solutions against business requirements. Support the deployment of AI/ML systems into production environments, ensuring smooth implementation and adoption. Monitor deployed models for performance, accuracy, and reliability, providing feedback for continuous improvement. Create user guides, training materials, and best practices documentation to support stakeholders in utilizing AI/ML applications effectively. Required Skills and Qualifications Strong understanding of AI/ML concepts such as supervised/unsupervised learning, NLP, computer vision and LLMs, with the ability to bridge the gap between technical teams and business stakeholders. Experience with Python-based AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn (preferred but not mandatory). Familiarity with AI/ML cloud services from AWS, Azure, or Google Cloud. Proficiency in business analysis methodologies, including process mapping, SWOT analysis, and root cause analysis Hands-on experience in creating detailed business requirement documents (BRDs), functional requirement specifications (FRSs), and workflows. Analytical and Technical Skills: Proficiency with data visualization tools like Tableau, Power BI, or similar platforms for presenting business insights. Basic understanding of APIs, data pipelines, and integrations for deploying AI/ML models. Ability to design and validate KPIs to measure business impact and technical success. Preferred Skills: Exposure to projects involving LLMs for conversational AI, chatbots, or content generation. Knowledge of Agile/Scrum frameworks for managing technology projects. Show more Show less