7 Qa Strategies Jobs

Req ID: 333046 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Conversational AI QA Lead to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Duties: Day to Day job Duties: . Develop and implement conversational AI solutions: Design, build, and deploy chatbots and virtual assistants for banking use cases. . Develop and implement a comprehensive QA strategy that aligns with our product roadmap and business goals. . Lead, mentor, and grow a high-performing QA team, fostering a culture of continuous improvement and accountability. . Establish and enforce quality standards, processes, and best practices for software testing, including automated and manual testing methodologies. . Collaborate with product management, engineering, and operations teams to define quality metrics and ensure alignment on product quality goals. . Oversee the design and execution of test plans, test cases, and automated test scripts to validate product functionality and performance. . Provide regular updates to executive leadership on quality metrics, testing progress, and risk assessments related to product releases. . Identify and advocate for quality improvements throughout the product development lifecycle. Skills Required: . 10+ years of experience in software quality assurance, with at least 5 years in a leadership role. . Proven track record of developing and executing QA strategies for complex software products. . Deep understanding of software testing methodologies, tools, and best practices. . Experience with test automation frameworks and CI/CD pipelines. . Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment. Minimum Skills Required: . 10+ years of experience in software quality assurance, with at least 5 years in a leadership role. . Proven track record of developing and executing QA strategies for complex software products. . Deep understanding of software testing methodologies, tools, and best practices. . Experience with test automation frameworks and CI/CD pipelines. . Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

As the Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for our edge AI applications. Your deep technical expertise in AI/ML systems will ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. Leading cross-functional teams, you will establish robust security frameworks and quality processes tailored specifically for AI applications deployed at the edge. In terms of security leadership, you will design and implement comprehensive security frameworks for edge AI applications, conduct threat assessments, establish security testing protocols, ensure compliance with industry standards, and implement privacy-preserving techniques. Additionally, you will develop and execute comprehensive QA strategies for edge AI products, create detailed test plans, lead and mentor QA engineers, establish quality metrics, and continuously optimize testing processes for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, AI/ML knowledge, experience with edge computing platforms, proficiency in programming languages such as Python and C/C++, familiarity with security testing tools and AI frameworks, as well as experience with cloud platforms and testing frameworks are essential for success in this role. Joining Aptiv means you will have the opportunity to grow in an inclusive work environment, make a meaningful impact on safety, and receive the necessary support for personal and professional development. Benefits at Aptiv include hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP employee assistance, access to fitness clubs, and a creche facility for working parents. Apply today and be a part of shaping a safer and more sustainable future at Aptiv!,

As a QA Lead at Vaibhav Global Limited (VGL), you will be responsible for overseeing the quality assurance efforts for software development and IT systems. Your role will involve providing guidance to the QA team, developing and implementing QA strategies, creating detailed test plans, and overseeing testing processes to ensure high-quality product delivery. Your key responsibilities will include: 1. Leadership and Strategy: - Lead the QA team through guidance, mentoring, and performance management. - Develop and implement QA strategies, methodologies, and processes. - Act as a liaison between development, business, and stakeholders to ensure QA alignment with project goals. 2. Test Planning and Execution: - Create detailed, comprehensive test plans and test cases. - Define and track quality metrics, including defect densities and open defect counts. - Oversee functional, performance, security, and regression testing. 3. Process Optimization: - Drive continuous improvement in testing processes, tools, and methodologies. - Evaluate and integrate automation tools to increase testing efficiency. 4. Team Management: - Manage a team of QA analysts and engineers, including task allocation, performance reviews, and skill development. - Foster a culture of quality and accountability within the team. 5. Collaboration and Communication: - Collaborate with cross-functional teams to understand system requirements and design testing solutions. - Communicate QA status, risks, and solutions effectively to stakeholders. 6. Risk Management: - Identify and mitigate project risks related to quality and delivery timelines. - Proactively address defects and coordinate resolution efforts with development teams. Requirements: - Bachelors degree in computer science, Information Technology, or a related field. - More than 7 years of experience in quality assurance, with at least 3 years in a lead role. - Strong understanding of software QA methodologies, tools, and processes. - Experience with test automation tools like Katalon, Selenium, Appium, or similar. - Good to have knowledge of programming/scripting languages such as Python, Java, or C#. - Familiarity with Agile and DevOps practices. - Excellent leadership, problem-solving, and decision-making abilities. - Strong analytical skills and attention to detail. - Effective verbal and written communication skills. - Experience with CI/CD pipelines and knowledge of cloud platforms like AWS, Azure, or Google Cloud would be a plus. - Certification in QA or Testing (e.g., ISTQB, CSTE) is preferred. Location: Jaipur, India Salary Range: 12,00,000-16,00,000 INR Yearly Level: 6 Experience: 8+ Years Qualification: Graduation/Post-Graduation Work Mode: Onsite Job Type: Full-time,

As a Manager - Quality Assurance (Medical Devices) at Polymedicure Ltd. in Jaipur, you will play a crucial role in overseeing the quality assurance processes to ensure that all medical devices meet regulatory and company standards. Your responsibilities will include developing QA strategies, leading audits, managing the QA team, monitoring production processes, conducting inspections, and driving continuous improvement initiatives. Collaboration with various departments is essential to maintain compliance with medical device regulations and standards, ensuring product quality and safety. To excel in this role, you should have experience in QA strategies, production monitoring, and regulatory compliance. Proficiency in conducting inspections, audits, and leading QA teams is necessary. A strong grasp of medical device regulations and standards, coupled with excellent communication and leadership skills, will be key to your success. Your ability to implement continuous improvement initiatives will drive quality enhancements. A Bachelor's degree in Engineering, Quality Management, or a related field is required, and previous experience in the medical device industry would be advantageous.,

You will be joining Hitech, a prominent provider of Engineering, BIM, and Business Process Solutions with a global presence and a dedicated team. Specifically, you will be part of the Data Annotation & AI Enablement division, supporting AI model training and human feedback loops for various AI applications. Currently, we are seeking a proficient Project Lead Annotation to oversee and ensure the success of our data labeling initiatives. In this role, you will take charge of managing large, diverse teams, including both internal members and external vendors, to generate high-quality annotated datasets for AI and machine learning ventures. Your responsibilities will encompass supervising project execution from start to finish, establishing annotation workflows, setting up QA pipelines, and maintaining consistent data accuracy and throughput. To excel in this position, you will need a combination of leadership skills, a structured approach to processes, and hands-on familiarity with annotation platforms and data labeling tools. The ideal candidate should possess strong communication abilities, structured thinking, and a keen enthusiasm for facilitating AI development through meticulous human-in-the-loop data management. Your key duties will include leading and organizing annotation teams, delegating tasks and milestones, monitoring progress, motivating team members, crafting and upholding annotation guidelines, implementing QA strategies to boost data quality, optimizing workflows for enhanced efficiency, collaborating with various teams, suggesting process enhancements, evaluating team performance, and efficiently managing distributed workflows through collaboration tools. For this role, we are looking for individuals with a bachelor's or master's degree in computer science, Information Technology, Data Engineering, or a related field, along with 3-6 years of experience in leading data or annotation projects. Proficiency in annotation tools like Label box, CVAT, or other custom platforms, sound knowledge of data formats such as JSON, XML, YOLO, CSV, and COCO, familiarity with QA workflows and annotation guidelines, and an understanding of AI and machine learning concepts are essential. Additionally, exceptional communication skills, problem-solving abilities, organizational prowess, and multitasking capabilities will be advantageous in this role.,

As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authentication. You will conduct threat assessments specific to edge AI environments, identify vulnerabilities in AI models, edge devices, and communication channels, and establish security testing protocols such as penetration testing, vulnerability assessments, and adversarial AI testing. Compliance management will also be a key aspect of your role, as you ensure adherence to industry standards and emerging AI governance frameworks, including ISO 27001, NIST, GDPR, and CCPA. Additionally, you will implement privacy-preserving techniques for edge AI, such as federated learning, differential privacy, and secure multi-party computation. In terms of quality assurance leadership, you will develop and execute comprehensive QA strategies for edge AI products, including model validation, performance testing, and reliability assessment. You will create detailed test plans covering functional, performance, security, and AI-specific testing scenarios, and lead and mentor QA engineers, security analysts, and test automation specialists. Establishing KPIs and metrics for product quality, security posture, and AI application/model performance will be essential, along with continuously optimizing testing processes and methodologies for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, threat modeling, security testing methodologies, machine learning algorithms, model training, inference, AI system architectures, edge computing platforms, IoT devices, distributed AI systems, programming proficiency in Python, C/C++, and scripting languages, experience with security testing tools, AI frameworks, cloud platforms, and testing frameworks will be crucial for success in this role. Join Aptiv to be part of an inclusive work environment that fosters growth and development for all individuals, regardless of gender, ethnicity, or beliefs. Make an impact by contributing to a safer world with zero fatalities, zero injuries, and zero accidents. Benefit from resources and support for your family, physical, and mental health, including competitive health insurance. Enjoy hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP Employee Assistance, access to fitness clubs, and creche facilities for working parents. Apply today to be a part of shaping tomorrow at Aptiv!,

We are seeking an experienced Quality Engineering Manager to take charge of our QA teams and elevate our testing processes to a new level by prioritizing automation, standardizing procedures, instilling best practices, and implementing effective tools. The ideal candidate should possess a forward-thinking approach towards technology and demonstrate hands-on expertise in cultivating high-performance teams. Additionally, the candidate must have a proven track record in designing and constructing automation frameworks and tools for QA teams, as well as driving process and technological enhancements across the Engineering organization. Your primary responsibilities will include leading, managing, and mentoring technical QA teams, closely collaborating with Product and Engineering departments to ensure alignment with product roadmap timelines, defining and executing testing methodologies in coordination with Senior Leadership, and identifying opportunities to introduce an automation-first approach. You will also strategize and implement initiatives to enhance product and platform quality through the adoption of tools and processes, address technical testing challenges, and guide the team towards an optimized automation strategy. Furthermore, your role will involve leveraging your expertise in test automation and software engineering best practices to influence design and implementation decisions, monitoring test metrics, collaborating with other engineering teams to address gaps, contributing technically to projects when necessary, and spearheading process improvement efforts to enhance overall Engineering practices. In terms of skills and competencies, the successful candidate should have experience with distributed Microservices architecture applications and End to End testing, proficiency in test automation frameworks such as Selenium and scripting languages like Python and Java, familiarity with Backend test automation tools for batch jobs and server-side applications, a solid grasp of software testing methodologies, tools, and CI/CD pipelines, and the ability to develop and implement QA strategies using both open-source and proprietary technologies. Moreover, you should possess strong analytical capabilities, exceptional problem-solving skills, and experience in managing distributed teams, along with a collaborative and communicative approach towards work. Knowledge of cloud platforms like AWS and Azure, containerization tools such as Docker and Kubernetes, familiarity with Scrum methodologies and project management, and a track record of driving organizational change with cross-functional stakeholders will be advantageous. To qualify for this role, you should hold a Bachelor's degree in Computer Science or a related field, have at least 3 years of experience in people management, specifically overseeing SDETs and engaging effectively with colleagues across different departments, and possess a minimum of 10 years of experience in the Software testing domain, including designing automation frameworks, testing tools, and automation tests.,