should be B.Pharm or M.Pharm (compulsary) Experienced in basic QA of product technical understanding of product. should be willing to work in the office no field work . should be experienced in formulation Experience: total work: 3 years (Preferred) Job Type: Full-time Schedule: Day shift Work Location: In person

Experience required 2.5 to 3 years Proven experience in AI & ML, particularly with Azure AI services and pre-trained Generative AI (GenAI) models. Expertise in Azure ML Studio for building, deploying, and managing AI/ML models at scale. Strong skills in prompt engineering to optimize the performance of large language models (LLMs) such as OpenAI’s models. Proficiency in Python and API development using FastAPI or Flask, with experience in scalable AI service deployment. Hands-on experience with Azure Document Intelligence or similar tools for document processing. Familiarity with cloud-based AI deployment, including Azure services for scaling, monitoring, and managing applications. Experience with containerization (Docker) and orchestration (Kubernetes) for managing AI solutions in production. Strong problem-solving skills with a focus on optimizing AI models and services for performance and efficiency. Excellent communication and collaboration skills, able to work with cross-functional teams and stakeholders Job Type: Full-time Schedule: Day shift Work Location: In person

Experience required 3.5 years Pre-Sales: Collaborate with sales/tech teams to understand client needs. Prepare proposals, high-level solutions, and effort estimates. Participate in client calls, RFP responses, and solution presentations. Post-Sales: Conduct requirement-gathering sessions with stakeholders. Translate business needs into SRS, BRD, FRD, user stories, and workflows. Assist in defining MVPs, sprint planning, and release scope. Documentation & Analysis: Create and maintain high-quality documentation (SRS, BRD, FRD). Maintain change logs, impact analysis, and approval matrices. AI-Driven Work Management: Design or optimize AI-powered solutions/workflows. Identify automation opportunities using AI/ML technologies. Assist in data preparation and logic design for AI integration. Project & Team Coordination: Act as a bridge between clients, developers, testers, and PMs. Support QA with test case validation and UAT sign-offs. Manage change requests and backlog prioritization. Provide functional leadership within Agile or hybrid project teams. Key Skills & Competencies Strong documentation and business analysis skills. Experience in pre-sales and post-sales client interaction. Good understanding of AI/ML use cases and application contexts. Exposure to leading Agile frameworks: Scrum, Kanban, Waterfall. Proficient in tools like JIRA, Figma, Excel, and Draw.io. Strong analytical and problem-solving capabilities. Excellent verbal and written communication skills. Job Type: Full-time Schedule: Day shift Work Location: In person

Experience required 3.5 to 4 yrs Develop and maintain robust, scalable, and high-performance web applications using Node.js and Express.js. Design, implement, and manage APIs (RESTful or GraphQL) to integrate with front-end and other services. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Write clean, maintainable, and efficient code while following best practices. Perform code reviews and provide mentorship to junior developers. Troubleshoot, debug, and optimize applications for maximum performance and reliability. Design and manage database schemas, queries, and integrations with NoSQL (MongoDB, etc.) and SQL databases (PostgreSQL, MySQL). Integrate third-party services and APIs into the system architecture. Ensure application security and data protection measures are in place. Work closely with DevOps to deploy applications and ensure high availability and scalability. Stay updated with emerging technologies and industry best practices. Job Type: Full-time Schedule: Day shift Work Location: In person

We is looking for a skilled Machine Learning Engineer with hands-on experience deploying models on Google Cloud Platform (GCP) using Vertex AI. This role involves enabling real-time and batch model inferencing based on specific business requirements, with a strong focus on production-grade ML deployments. Experience: 3 to 4 years Key Responsibilities: * Deploy machine learning models on GCP using Vertex AI. * Design and implement real-time and batch inference pipelines. * Monitor model performance, detect drift, and manage lifecycle. * Ensure adherence to model governance best practices and support ML-Ops workflows. * Collaborate with cross-functional teams to support Credit Risk, Marketing, and Customer Service use cases, especially within the retail banking domain. * Develop scalable and maintainable code in Python and SQL. * Work with diverse datasets, perform feature engineering, and build, train, and fine-tune advanced predictive models. * Contribute to model deployment in the lending space. Required Skills & Experience: * Strong expertise in Python and SQL. * Proficient with ML libraries and frameworks such as scikit-learn, pandas, NumPy, spaCy, CatBoost, etc. * In-depth knowledge of GCP Vertex AI and ML pipeline orchestration. * Experience with ML-Ops and model governance. * Exposure to use cases in retail banking—Credit Risk, Marketing, and Customer Service. * Experience working with structured and unstructured data. Nice to Have: * Prior experience deploying models in the lending domain. * Understanding of regulatory considerations in financial services. Job Type: Full-time Schedule: Day shift Work Location: In person

Experience Required : 1 to 1.5 years -Identify and target new business opportunities through market research, networking, and cold outreach. - Create detailed proposals and presentations to convert leads into sales. - Use various channels (LinkedIn, email, phone, online platforms) to generate qualified leads. - Develop and implement lead generation strategies that target decision-makers in relevant industries. - Qualify leads based on criteria set by the business development team. - Manage and update lead information in CRM tools. - Track, analyze, and report on lead generation performance. Key Skills: - Proven experience in business development, sales, or marketing. - Knowledge of software development, web technologies, mobile apps, and AI/ML. - Excellent communication, negotiation, and interpersonal skills. - Experience in lead generation or sales support. - Proficiency in using lead generation tools and should be aware about lead generation techniques. - Good knowledge of email marketing and its tools. - Excellent communication skills, particularly in cold emailing. - Ability to work in a fast-paced environment and manage multiple leads. - Goal-oriented with a strong focus on achieving targets. Job Type: Full-time Schedule: Day shift Work Location: In person

Core Responsibilities: •Develop and maintain cross-platform mobile applications using Flutter with Dart. •Utilize AI-augmented development tools within IDEs like Cursor AI, VS Code, and Android Studio to accelerate UI and logic creation. •Apply prompt engineering techniques to build, optimize, and debug mobile features. •Collaborate with backend and AI teams to integrate intelligent features using APIs. •Ensure mobile apps deliver high performance, security, and intuitive UX. •Implement best practices in code modularity, reusability, and CI/CD for mobile delivery. Required Skills & Experience: •3 years of mobile development experience using Flutter and Dart. •Strong familiarity with AI-enhanced IDEs such as Cursor AI, GitHub Copilot, or ChatGPT integrations. •Experience integrating AI services such as NLP, smart chat, predictive input, etc., into mobile apps. •Good understanding of app lifecycle, UI/UX design systems, and state management (Bloc, Provider, Riverpod). •Experience building apps for both iOS and Android from a single Flutter codebase. •Comfortable working with platform-specific integrations using Method Channels. Preferred (Nice to Have): •Experience publishing apps to App Store and Play Store. •Knowledge of Swift and Kotlin for native enhancements. •Familiarity with Firebase, AppCenter, or other mobile backend services. •Experience with automated testing, build pipelines, and crash analytics tools. Job Type: Full-time Work Location: In person

Core Responsibilities: Develop high-performance backend services using Node.js and NestJS in a modular, scalable architecture. Design and implement microservices that support scalability, maintainability, and separation of concerns. Work in AI-powered development environments (e.g., Cursor, Copilot, Codeium) to increase velocity and quality. Use prompt-based coding techniques to generate, refactor, or optimize code with AI assistance. Build APIs, services, and features that align with AI-first development strategy. Collaborate with product, AI, and frontend teams to bring intelligent workflows into enterprise-grade platforms. Ensure code quality, performance, and security using modern testing and DevOps practices. Required Skills & Experience: Minimum 3 to 4 years of backend development experience in Node.js with NestJS. Strong understanding of prompt engineering and prompt-based solution development. Proven ability to integrate AI features like NLP, classification, automation, and smart decisioning via APIs. Familiarity with RESTful services, microservices architecture, and scalable backend systems. Experience working in enterprise-level development environments with code modularity and architecture ownership. Strong debugging, refactoring, and performance optimization skills. Preferred (Nice to Have): Hands-on experience using AI development tools like GitHub Copilot, Cursor, or ChatGPT for day-to-day coding. Experience with TypeScript end-to-end. Knowledge of GraphQL, WebSockets, and background job queues. Familiarity with cloud infrastructure (AWS, Azure, or GCP) and Docker. Job Type: Full-time Work Location: In person