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Job Title : Data Science Master Trainer Location : Bengaluru YOE : 4 - 6+ Years Job Overview : We are seeking an experienced and passionate Data Science Master Trainer to deliver world-class training programs in the field of data science. The ideal candidate will have a deep understanding of data science methodologies, strong technical expertise, and the ability to mentor and guide learners through hands-on projects. As a Data Science Master Trainer, you will play a pivotal role in shaping the careers of future data scientists and data-driven professionals by providing practical knowledge, real-world applications, and industry insights. Key Responsibilities : - Deliver structured, engaging, and interactive data science training courses tailored to different skill levels, from beginners to advanced learners. - Guide students through real-world data science projects, covering topics like data analysis, machine learning, statistical modeling, data visualization, and more. - Provide personalized mentorship to students, helping them navigate their learning journey, overcome challenges, and make progress in their career development. - Create an engaging, interactive learning environment that encourages critical thinking, problem-solving, and collaboration among learners. - Assess student progress through assignments, quizzes, and project-based evaluations, providing constructive feedback to help students improve their skills. Required Skills and Qualifications : - Deep Knowledge of Data Science : Strong expertise in data science concepts, including data wrangling, exploratory data analysis (EDA), machine learning, statistical analysis, data visualization, and big data technologies. - Proficiency in Data Science Tools : Advanced skills in programming languages such as Python or R, as well as hands-on experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, etc.). - Strong Analytical Skills : Ability to analyze large datasets, identify trends, and make data-driven decisions. Proficiency in statistical analysis and model building. - Teaching & Mentorship : A genuine passion for teaching and mentoring, with the ability to explain complex data science concepts in an easy-to-understand manner and guide learners through challenges. - Hands-on Experience : Practical experience in solving real-world data science problems, including working with structured and unstructured data, building machine learning models, and deploying solutions. - Excellent Communication Skills : Strong verbal and written communication skills to present complex topics clearly and effectively to diverse audiences. - Up-to-Date with Best Practices : Knowledge of the latest tools, libraries, and best practices in the data science field, including experience with cloud platforms (e.g., AWS, Google Cloud, Azure). - Engaging Teaching Style : Ability to create a dynamic and motivating learning environment that encourages participation, critical thinking, and collaboration. Preferred Qualifications : - Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Previous experience as a data science instructor or trainer in a corporate or academic setting. - Certifications related to data science or machine learning (e.g., Certified Data Scientist, Microsoft Azure Data Scientist, Google Professional Data Engineer, etc.). - Familiarity with tools such as Jupyter, Tableau, SQL, Hadoop, or Spark. About us : QSpiders is the world's ace software training organization with an aim to bridge the gap between the demands of the industry and the curriculum of educational institutions. With centers across the Globe, the institute is a platform where young minds are given the opportunity to build successful careers.

Bangalore

Data Science Master Trainer (4-20 yrs)

We are seeking an experienced AI Architect to design, develop, and implement cutting-edge artificial intelligence solutions. The ideal candidate will have expertise in machine learning, deep learning, and AI-driven architectures, ensuring scalable and efficient AI models that align with business objectives. Key Responsibilities : 1. AI Strategy & Architecture : - Design and develop AI-driven solutions that align with business goals. - Architect scalable AI/ML pipelines and ensure efficient model deployment. - Select appropriate AI frameworks, tools, and cloud platforms (AWS, Azure, GCP). 2. Machine Learning & Data Science : - Lead the development and training of ML/DL models for various applications. - Ensure model optimization, performance tuning, and explainability. - Collaborate with data scientists to enhance AI models. 3. AI Integration & Deployment : - Deploy AI models into production using MLOps best practices. - Design APIs and AI services for seamless integration into applications. - Work with engineering teams to integrate AI into microservices architecture. 4. Governance & Compliance : - Ensure AI solutions comply with ethical AI standards, GDPR, and data privacy laws. - Establish AI model monitoring, bias detection, and fairness checks. 5. Research & Innovation : - Stay updated with the latest AI trends, technologies, and best practices. - Evaluate emerging AI technologies for potential adoption. - Mentor junior AI engineers and contribute to AI research projects Required Skills & Qualifications : - Bachelors/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. - 10+ years of experience in AI/ML development and architecture. - Expertise in Python, TensorFlow, PyTorch, Scikit-learn, and other AI frameworks. - Experience with MLOps, model deployment, and cloud-based AI solutions. - Strong knowledge of big data processing (Spark, Hadoop) and databases (SQL, NoSQL). - Familiarity with NLP, computer vision, and generative AI models. - Hands-on experience with Docker, Kubernetes, and CI/CD for AI deployment. - Understanding of AI ethics, bias mitigation, and regulatory compliance. Preferred Qualifications : - Experience with LLMs (Large Language Models) and Generative AI. - Knowledge of Edge AI and AI hardware accelerators (TPUs, GPUs). - Certification in AI/ML (AWS Certified Machine Learning, TensorFlow Developer, etc.).

Artificial Intelligence Architect (10-14 yrs)

Job Description : - Candidate with 8-10 yrs of experience - Must have experience with Java 8 / 11 / 21 - Must have experience with Spring Boot / Hibernate / Kafka - Must have experience with Unit Testing / Integration Testing using various Java frameworks - Sound understanding of DevOps with Gitlab, exposure to Azure, Docker & Kubernetes - Sound understanding with ability to apply core and advanced Java concepts - Proven track record of enterprise level application development for 5+ years - Extensive experience of writing unit tests - Ability to write intermediate level SQL queries - Excellent communication and problem-solving skills - Java : Expertise in Java 8, 11, or 21 with a strong understanding of object-oriented programming (OOP), concurrency, and Java's advanced features such as streams and lambdas. - Spring Boot : Extensive experience developing microservices and RESTful services with Spring Boot and managing them effectively. - Hibernate : In-depth knowledge of Hibernate for ORM and efficient interaction with relational databases. - Kafka : Proven experience in integrating Kafka for building event-driven, real-time messaging solutions. - Testing : Proficiency in writing unit and integration tests using Java testing frameworks like JUnit, TestNG, and Mockito. - DevOps & CI/CD : Strong understanding of DevOps methodologies with hands-on experience using GitLab for version control, Docker for containerization, and Kubernetes for container orchestration. - SQL : Ability to write and optimize SQL queries, with a deep understanding of relational databases such as MySQL, PostgreSQL, or Oracle. - Cloud : Experience with cloud platforms such as Azure, with the ability to build and deploy scalable applications in the cloud environment. - Problem-Solving & Communication : Excellent problem-solving skills and the ability to communicate technical concepts effectively within teams.

Pune

Senior Java Backend Developer - Spring Boot/Hibernate (8-10 yrs)

Key Responsibilities : 1. Architect and design scalable, efficient, and maintainable front-end solutions using React and related technologies. 2. Collaborate with cross-functional teams, including UI/UX designers, back-end developers, and product managers, to define project requirements and deliver optimal solutions. 3. Lead and mentor a team of front-end developers, guiding them on best practices, code quality, and performance optimization. 4. Evaluate and recommend new technologies, tools, and frameworks to enhance the development process and improve the overall user experience. 5. Implement and maintain coding standards, design patterns, and development best practices for the front-end team. 6. Conduct code reviews to ensure code quality, consistency, and adherence to architectural guidelines. 7. Collaborate with the QA team to define testing strategies, identify potential issues, and ensure the delivery of high-quality products. 8. Stay up-to-date with industry trends, emerging technologies, and best practices in front-end development to drive innovation and continuous improvement. 9. Drive performance optimization initiatives to enhance the speed and responsiveness of our web applications. Required Skills : 1. Extensive experience in front-end development with a focus on React, JavaScript, Redux, HTML, CSS, SASS, Material UI, bootstrap, tailwind CSS, and other popular libraries. 2. Proven experience in architecting and designing large-scale React applications, showcasing your ability to solve complex problems and deliver scalable solutions. 3. Strong understanding of front-end architecture patterns, state management libraries (e.g., Redux), and modern front-end build tools (e.g., Webpack). 4. Experience with responsive web design, mobile-first development, and cross[1]browser compatibility. 5. Proficiency in debugging and optimizing front-end performance issues for improved loading times and responsiveness. 6. Familiarity with front-end testing frameworks (e.g., Jest, Enzyme, React Testing Library) and continuous integration/continuous deployment (CI/CD) processes. 7. Excellent leadership and communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders. 8. Experience in leading and mentoring teams, fostering a collaborative and productive work environment. 9. Strong problem-solving skills and the ability to identify and address technical challenges effectively. 10. Solid understanding of user experience design principles and a keen eye for detail. 11. Experience working in Agile/Scrum development environment

UI Architect - Javascript/React.js (10-20 yrs)

We are looking for a talented UI/Frontend Developer (React.js) to design and develop high performance, scalable, and responsive web applications. The ideal candidate should have strong expertise in React.js, JavaScript, TypeScript, and modern frontend technologies to deliver seamless user experiences. Key Responsibilities : 1. Frontend Development : - Develop and maintain high-quality, reusable React.js components. - Implement responsive UI designs using HTML, CSS, Tailwind, and Styled Components. - Ensure seamless cross-browser and cross-platform compatibility. 2. Performance & Optimization : - Optimize frontend performance for fast load times and smooth interactions. - Improve SEO, accessibility, and Lighthouse scores. - Implement efficient state management (Redux, Zustand, or Context API). 3. API Integration & State Management : - Integrate RESTful APIs or GraphQL endpoints into the frontend. - Manage client-side state efficiently with Redux Toolkit or React Query. 4. Code Quality & Best Practices : - Follow clean code principles and maintain proper documentation. - Write unit and integration tests using Jest, React Testing Library, or Cypress. - Implement best practices for security (XSS, CSRF, CORS, etc.). 5. Collaboration & Agile Development : - Work closely with designers, backend developers, and product teams. - Participate in code reviews, standups, and sprint planning. - Contribute to UI/UX decisions to enhance user experience. Required Skills & Qualifications: - 2+ years of experience in frontend development with React.js. - Strong proficiency in JavaScript (ES6+), TypeScript, and modern UI frameworks. - Experience with CSS frameworks (Tailwind, Bootstrap, Material-UI, etc.). - Knowledge of state management tools (Redux, MobX, Zustand, React Context API). - Familiarity with build tools (Webpack, Vite, Babel, ESLint, Prettier). - Experience in integrating RESTful APIs, GraphQL, or WebSockets. - Understanding of frontend security best practices. - Proficiency in Git and version control systems (GitHub, GitLab, Bitbucket). Preferred Qualifications : - Experience with Next.js for SSR and SSG. - Knowledge of serverless functions and cloud platforms (AWS, Firebase, Vercel). - Hands-on experience with CI/CD pipelines for frontend applications. - UI/UX design knowledge and experience with Figma, Adobe XD, or Sketch.

UI/Frontend Developer - React.js Framework (3-8 yrs)

Responsibilities : - Architect and design scalable, distributed, and high-availability backend systems. - Develop High-Level Design (HLD) and Low-Level Design (LLD) for key system components. - Define and implement best coding practices, design patterns, and architectural guidelines. - Ensure system performance, security, and maintainability. - Work closely with cross-functional teams including DevOps, Frontend, and Product teams. - Develop and review RESTful APIs for seamless integration with frontend and external services. - Provide technical leadership and mentor junior engineers. - Conduct code reviews and ensure adherence to industry standards. - Optimize database performance (MongoDB) and design efficient data models. - Implement asynchronous messaging using Kafka for event-driven architecture. - Integrate ElasticSearch, Kibana, and Fluent for efficient logging, monitoring, and analytics. - Implement authentication and authorization solutions using KeyCloak. - Collaborate on CI/CD pipelines and deployment strategies. Required Skills : Primary Skills : - Strong experience in Java, Spring Boot, RESTful APIs, and MongoDB. - Expertise in architecting and designing scalable backend systems. - Strong knowledge of Microservices Architecture and Cloud-Native Design. - Experience with database modeling, indexing, and optimization. Secondary Skills : - Experience in Kafka, ElasticSearch, Kibana, Fluent, and KeyCloak. - Hands-on experience with asynchronous event-driven architectures. - Knowledge of containerization (Docker, Kubernetes) is a plus. Soft Skills : - Ability to mentor and guide junior developers. - Strong collaboration skills in a cross-functional team(Product Team, Front End Tea and Business Teams) environment Preferred Qualifications : - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 10+ years of experience in backend development with at least 3+ years in an Architect role. - Experience in cloud platforms (AWS, GCP, or Azure) is a plus.

System Architect - Distributed Systems (10-14 yrs)

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