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The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

• Responsibilities:
• Conduct thorough research on industry-related topics and stay up to date with the latest trends and best practices. 
• Develop and implement content strategies to drive brand awareness, lead generation, and customer engagement. 
• Collaborate with cross-functional teams, including marketing, design, and development, to ensure content alignment with brand guidelines and business objectives. 
• Optimize content for search engines (SEO) to improve organic visibility and drive traffic to our website.

Company Description:

KGiSL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGiSL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Job Summary:

The Associate Professor in the Department of Computer Science & Engineering will be responsible for teaching undergraduate and postgraduate courses, guiding research, contributing to academic administration, and fostering innovation in the field. The role demands a strong commitment to academic excellence, research contributions, and mentorship of students, in line with the vision and mission of the university.

Key Responsibilities:

1. Teaching & Learning:

Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.

Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.

Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).

2. Research & Publications:

Conduct independent and collaborative research in areas of specialization.

Publish research papers in peer-reviewed journals and present in reputed conferences.

Apply for funded research projects from national/international agencies.

3. Student Mentorship & Guidance:

Supervise B.Tech, M.Tech, and Ph.D. dissertations/projects.

Mentor students for academic, career, and personal development.

Guide students in participating in hackathons, coding competitions, and innovation challenges.

4. Curriculum Development:

Contribute to syllabus design and revision as per industry needs and latest technological trends.

Ensure alignment with AICTE/UGC/NAAC/NBA accreditation requirements.

5. Administrative & Institutional Responsibilities:

Participate in departmental and institutional committees.

Assist in organizing seminars, workshops, FDPs, and conferences.

Contribute to accreditation, quality assurance, and academic audits.

6. Professional Development:

Keep abreast with emerging trends in CSE and higher education pedagogy.

Engage in continuous learning through FDPs, MOOCs, and industry collaborations.

Eligibility & Qualifications (As per AICTE/UGC Norms)

Educational Qualification: Ph.D. in Computer Science & Engineering

Experience: Minimum of 8 years teaching/research/industry experience, with at least 6 years at the level of Assistant Professor.

Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.

Other Requirements:

Good academic record throughout.

Proven ability to attract research funding.

Strong communication and interpersonal skills.

Work Location: [KGiSL Educational Institution]

Employment Type: Full-time

Remuneration: As per university norms and AICTE/UGC pay scales (7th CPC).

Job Type: Full-time

Pay: ₹65,000.00 - ₹80,000.00 per month

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Hello 

About the Role

In this role, you'll work on design, implementation, and test for Dremio's system internals. If you want to be part of a fast-moving, fun, and accomplished team, we'd love to hear from you.

Responsibilities & ownership

• Own design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Capable of working Individually and collaboratively with other engineers.
• Collaborate with support and field resources to make sure that customers are successful with Dremio

Requirements

• Fluency in Java and/or C++ with 3 to 5+ years of experience developing production level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous patterns and their applications towards developing scalable systems
• Experience developing scalable distributed systems and deploying, scaling, and managing microservices
• Experience with  containers and kubernetes for orchestration and container management in private and public clouds (AWS, Azure, Google Cloud) a plus
• Excellent communication skills and affinity for collaboration and teamwork
• Interested in and motivated to be  part of a fast-moving startup with a fun and accomplished team
• Startup experience a plus
• B.S. or M.S in Computer Science or a related technical field or equivalent practical experience

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred