Data Quality Engineer Kloudportal Technology Solutions

5.0 - 10.0 years

15 - 25 Lacs

Hyderabad

Work from Office

We are seeking a highly skilled Quality Engineer Data to ensure the reliability, accuracy, and performance of data pipelines and AI/ML models within our SmartFM platform . This role is critical to delivering trusted data and actionable insights that drive smart building optimization and operational efficiency. Key Responsibilities: Design and implement robust QA strategies for data pipelines , ML models , and agentic workflows . Test and validate data ingestion and streaming systems (e.g., StreamSets , Kafka ) for accuracy, completeness, and resilience. Ensure data integrity and schema validation within MongoDB and other data stores. Collaborate with Data Engineers to proactively identify and resolve data quality issues. Partner with Data Scientists to validate ML/DL/LLM model performance, fairness, and robustness. Automate testing processes using frameworks such as Pytest , Great Expectations , and Deepchecks . Monitor production pipelines for anomalies, data drift , and model degradation . Participate in code reviews , QA audits, and maintain comprehensive documentation of test plans and results. Continuously evaluate and improve QA processes based on industry best practices and emerging trends. Required Technical Skills: 510 years of QA experience with a focus on data validation and ML model testing . Strong command of SQL for complex data queries and integrity checks. Practical experience with StreamSets , Kafka , and MongoDB . Proficient in Python scripting for automation and testing. Familiarity with ML testing metrics , model validation techniques, and bias detection . Exposure to cloud platforms such as Azure , AWS , or GCP . Working knowledge of QA tools like Pytest , Great Expectations , and Deepchecks . Understanding of Node.js and React-based applications is an added advantage. Additional Qualifications: Excellent communication , documentation , and cross-functional collaboration skills. Strong analytical mindset and high attention to detail. Ability to work with cross-disciplinary teams including Engineering, Data Science, and Product. Passion for continuous learning and adoption of new QA tools and methodologies. Domain knowledge in facility management , IoT , or building automation systems is a strong plus.

Posted 1 month ago

Apply

AI Engineer ( Quality ,Performance) Novizco Infotech

2.0 - 7.0 years

7 - 17 Lacs

Bengaluru

Remote

Job Title: AI Engineer Quality & Performance Job Description: We are seeking a highly skilled AI Engineer - Quality & Performance to ensure the accuracy, robustness, and ethical integrity of AI-generated responses. In this role, you will leverage AI validation frameworks, adversarial testing tools, and responsible AI principles to assess and enhance AI systems. If you are passionate about AI security, performance evaluation, and responsible AI practices, wed love to hear from you! Key Responsibilities: AI Response Validation: Evaluate AI-generated responses for accuracy, coherence, relevance, and alignment with defined standards. AI Red Teaming: Utilize tools such as Pyrit, NVIDIA Garak, Giskard AI, Attest, and TruLens to conduct adversarial testing and identify vulnerabilities, biases, or security risks in AI models. AI Ground Truth Check: Develop and refine validation datasets using frameworks like PromptFlow, Cerberus, CheckList, and FairBench to ensure factual integrity and reliability of AI outputs. AI Performance Evaluation: Implement benchmarking strategies using tools such as OpenAI Eval, DeepEval, Dynabench, and LM Harness to measure AI model efficiency, robustness, and responsiveness. AI Quality Assurance: Apply automated validation frameworks such as DeepChecks, Great Expectations, and Robustness Gym to maintain high standards in AI response generation. Responsible AI Validation: Leverage tools like Fairlearn, Aequitas, and AI Fairness 360 to assess AI fairness, mitigate biases, and enforce ethical AI principles. Prompt Rewriting & Validation: Analyze and refine AI prompts using PromptFoo and Helium to optimize response quality and consistency across diverse applications. Qualifications: Education: Bachelors or Masters degree in Computer Science, AI, Engineering, or a related field (or equivalent practical experience). Experience: 2-8 years of experience in AI engineering, software development, or automation testing. Minimum 1 year of experience working with red teaming frameworks (e.g., Pyrite, Attest) and AI validation tools (e.g., Fairlearn, DeepChecks). Strong understanding of AI security, fairness principles, and adversarial testing methodologies. Technical Skills: Proficiency in programming languages such as Python, JavaScript, or relevant AI evaluation scripting. Experience in AI bias detection, robustness testing, and prompt engineering. Familiarity with machine learning workflows, AI policy frameworks, and ethical AI implementation. Key Competencies: Strong analytical and problem-solving skills in AI validation and red teaming. Attention to detail when assessing AI-generated responses. Creativity and critical thinking in designing and refining AI prompts. Excellent written and verbal communication skills for reporting AI evaluation results. Ability to work in a fast-paced, collaborative environment with multidisciplinary teams. Why Join Us? Work with cutting-edge AI validation frameworks to shape the future of responsible AI. Engage in AI security, fairness assessments, and red teaming to enhance AI resilience. Be part of an innovative and dynamic team at the forefront of AI model evaluation. Competitive compensation package with strong career growth opportunities.

Posted 1 month ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.