SentientGeek s is looking for passionate Quality Analyst to join our development team in our Kolkata office. An ideal candidate would graduate with a basic knowledge of Quality assurance to design and develop test plans, test cases based upon functional and design specifications, participate actively in functional, system, and regression testing activities. Responsibilities Reviewing quality specifications and technical design documents to provide timely and meaningful feedback. Build and execute test cases (manual or automated) and analyze results. Must have good knowledge in Manual Web Testing. Estimating, prioritizing, planning and coordinating quality testing activities. Coordinate and communicate with Leads on assignment delivery. Proven work experience in software quality assurance. Good knowledge of software QA methodologies, tools, and processes. Experience in writing clear, concise and comprehensive test plans and test cases. Experience working in an agile scrum development process preferable. Key Activities: Quality assurance across multiple projects & platforms ensuring error-free delivery of projects. Create Test Cases, Review & Execute Test Schedule. User Interface Testing, Functional Testing. Bug Tracking, Reporting and Process compliance. Manual testing and smoke testing. Testing web-based applications. Testing on mobile and tablet devices. Technical documentation. Ability to document errors. Proven knowledge of testing technologies, tools, and methods. Perform regression testing. A keen eye for detail and a commitment to excellence. Preference: Minimum 1 year of experience with Manual Testing. Automation will be an added advantage. Candidates capable of seamlessly communicating in English with supervisors or clients. Interested candidates can apply only from West Bengal. Work Location : Kolkata Work Mode : Onsite Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Yearly bonus Education: Bachelor's (Preferred) Experience: total work: 1 year (Required) Work Location: In person

We are looking for a skilled and passionate AI/ML Engineer to join our team and help us build intelligent systems that leverage machine learning and artificial intelligence. You will design, develop, and deploy machine learning models, work closely with cross-functional teams, and contribute to cutting-edge solutions that solve real-world problems. Key Responsibilities: Design and implement machine learning models and algorithms for various use cases (e.g., prediction, classification, NLP, computer vision). Analyze and preprocess large datasets to build robust training pipelines. Conduct research to stay up to date with the latest AI/ML advancements and integrate relevant techniques into projects. Train, fine-tune, and optimize models for performance and scalability. Deploy models to production using tools such as Docker, Kubernetes, or cloud services (AWS, GCP, Azure). Collaborate with software engineers, data scientists, and product teams to integrate AI/ML solutions into applications. Monitor model performance in production and continuously iterate for improvements. Document design choices, code, and models for transparency and reproducibility. Preferred Qualifications: Knowledge in NLP, LLM and GenAI. Knowledge in deep learning architectures such as CNNs, RNNs, transformer models. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). Background in deep learning architectures such as CNNs, RNNs, GANs, or transformer models. Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). Contributions to open-source AI/ML projects or publications in relevant conferences/journals. Required 3+ years experience. Work Mode : Onsite. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹900,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person