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2.0 - 6.0 years

0 Lacs

karnataka

On-site

The QA Engineer AI/ML will play a crucial role in evaluating and conducting manual functional, regression, and integrated testing on new or modified software programs. Your primary responsibility will be to ensure that these programs meet the specified requirements and adhere to established guidelines. By writing, revising, and validating test plans and procedures, you will contribute to the identification of defects, environmental needs, and product feature evaluations. As a QA Engineer AI/ML, you will be tasked with maintaining a comprehensive test library, executing test scenarios to ensure coverage of requirements and regression, and conducting both positive and negative testing. Your involvement in product design reviews will provide valuable insights into functional requirements, product designs, usability considerations, and testing implications. Additionally, you will be responsible for identifying, reporting, and tracking product defects, as well as addressing the need for additional product functionality in a clear and concise manner. In this role, you will also be required to prepare and review technical documentation for accuracy, completeness, and overall quality. Providing task estimations and ensuring timely delivery against specified schedules will be essential aspects of your responsibilities. Furthermore, your availability outside of standard business hours may be necessary as part of a rotational on-call schedule. To qualify for this position, you must hold a Bachelor's degree in computer science, engineering, or a related field, or possess equivalent relevant experience. You should have 2-4 years of experience in QA Manual and demonstrate a strong understanding of technology, software quality assurance standards, and practices. Your exceptional written and verbal communication skills, along with active listening abilities, will enable you to interact effectively with a diverse range of technical and non-technical personnel. A proficiency in identifying issues logically, troubleshooting, problem-solving, and predicting defects will be crucial for success in this role. You should be adept at interpreting business requirements, creating test specifications, test plans, and test scenarios. Additionally, a balance between individual and team efforts in collaborative processes while meeting deadlines will be necessary. Experience and skills in AI/ML fundamentals, data quality assessment, model performance testing, AI/ML testing tools familiarity, bias and fairness testing, and programming skills for AI/ML testing are highly desirable. Proficiency in Python and SQL for creating test scripts, data manipulation, and working with ML libraries will be beneficial. Familiarity with MLOps, model lifecycle testing, structured delivery processes, Agile methods, and various platforms and databases will also be advantageous. Enjoy a competitive compensation package and comprehensive benefits as part of this role at Netsmart, an Equal Opportunity Employer dedicated to diversity and inclusivity.,

Posted 3 days ago

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3.0 - 8.0 years

5 - 10 Lacs

Mumbai, Delhi / NCR, Bengaluru

Work from Office

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location - Pan India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

Posted 1 week ago

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3.0 - 5.0 years

9 - 12 Lacs

Bengaluru

Work from Office

Responsibilities: * Collaborate with dev team on API testing using GIT and CI/CD pipeline. * Develop automated tests with Python, PyTest, and frameworks.

Posted 1 month ago

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