3 Qa Strategies Jobs

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.,