We are seeking an experienced MERN Stack Trainer to design, develop, and deliver instructor-led and hands-on training programs covering the full MERN (MongoDB, Express.js, React, Node.js) technology stack. The ideal candidate will possess strong software-architecture knowledge, be well-versed in backend management and design patterns, and be capable of guiding students through both core and advanced topics such as asynchronous programming, database design, scalability, reliability, and maintainability. This role requires designing curriculum, creating lab exercises, evaluating student progress, and continuously refining content to align with industry best practices. Key Responsiblities. Curriculum Design & Development: Define learning objectives, course outlines, and module breakdowns for MERN stack topics. Training Delivery & Facilitation Conduct live instructor-led sessions (onsite/virtual) adhering to learning principles. Facilitate hands-on labs where participants build real-world projects (e.g., e-commerce site, chat application, CRUD apps). Demonstrate step-by-step development, debugging, and deployment workflows. Assign and review practical exercises; provide detailed feedback and remediation for struggling learners. Mentor participants on best practices, troubleshooting, and performance optimization. Assessment & Evaluation Design quizzes, coding challenges, and project assessments that rigorously test conceptual understanding and practical skills. Track participant progress (attendance, lab completion, assessment scores) and prepare weekly status reports. Provide certification guidance and mock interview sessions for MERN-related roles. Continuously collect participant feedback to refine content and delivery style. Content Maintenance & Continuous Improvement Stay up-to-date with the latest MERN ecosystem developments: new Node.js features, React releases, database enhancements, DevOps tooling. Regularly revise training materials to incorporate emerging technologies (e.g., serverless functions, Next.js, GraphQL, TypeScript). Collaborate with instructional designers, subject-matter experts, and other trainers to ensure consistency and quality across programs. Required Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely related field. Professional Experience Minimum 3 years of hands-on training experience for designing and building full-stack applications using the MERN stack (Node.js, Express.js, React.js, MongoDB). Preferred 3 years of formal training or mentoring experience in a classroom (physical/virtual) environment, preferably to engineering students or early-career software engineers. Technical Proficiency (must demonstrate strong expertise in all of the following): Node.js & Express.js : building RESTful services, middleware patterns, debugging, error handling, performance tuning. MongoDB : schema design, indexing, aggregation pipelines, replication, and sharding. React.js : component architecture, hooks, state management (Redux or equivalent), React Router, testing frameworks (Jest, React Testing Library). Frontend Technologies : HTML5 semantics, CSS3 (Flexbox, Grid, responsive design, Sass/LESS), Bootstrap, JavaScript (ES6+), jQuery fundamentals. Database Administration : proficiency in at least one relational database (PostgreSQL or MariaDB) and one NoSQL/document database (MongoDB). Familiarity with Redis (caching/real-time sessions), Neo4j, and InfluxDB (optional). Software Architecture & Design Patterns : SOLID principles, MVC/MVVM, event-driven patterns, microservices vs. monolith trade-offs. DevOps & Tooling : Git/GitHub workflows, containerization basics (Docker), basic cloud deployment. Testing & Quality : unit testing (Mocha/Chai, Jest), integration testing (Supertest), basic performance testing (JMeter), code linting (ESLint), code coverage. Soft Skills Excellent verbal and written communication skills; ability to explain complex concepts in a simplified and structured manner. Proven classroom management and facilitation skills; adaptable to diverse learner backgrounds. Strong problem-solving aptitude and the ability to perform live troubleshooting during sessions. Demonstrated organizational skills: ability to manage multiple batches, track progress, and ensure timely delivery of content. High degree of professionalism, punctuality, and ownership. Show more Show less
We are looking for a skilled Competitive Programming Trainer who will design and deliver a curriculum focused on advanced problem solving, data structures, and algorithms using Java and C++ . The ideal candidate will have an outstanding track record in competitive programming (e.g., good LeetCode ranking, or success in coding competitions), expertise in both languages’ data structures libraries, algorithmic paradigms, and a demonstrated ability to teach both theoretical foundations and efficient coding practices. This role involves preparing learners for coding assessments, technical interviews, and competitive programming contests. Key Responsibilities Curriculum Design & Development: Create a structured syllabus covering essential and advanced topics in data structures and algorithms Develop lecture notes, slide decks, and step-by-step coding walkthroughs that demonstrate solving real coding challenge problems (including live coding sessions). Create a comprehensive repository of coding exercises drawn from platforms like LeetCode , HackerRank , CodeChef. Training Delivery & Facilitation Conduct interactive, instructor-led classes (onsite/virtual) that balance theoretical instruction with live coding demonstrations. Facilitate hands-on problem-solving sessions where attendees work on timed coding challenges in Java and C++, with real-time feedback on approach, optimization, and bug resolution. Host regular mock contests and coding sprints to simulate competitive programming environments and build time-management skills. Offer one-on-one coaching sessions to help participants troubleshoot complex problems, refine code, and improve problem-solving speed and accuracy. Assessment & Evaluation Design quizzes, timed coding challenges, and project-oriented assignments that assess mastery of data structures, algorithms, and coding proficiency in both Java and C++. Track performance metrics—problem completion times, accuracy rates, code complexity—and provide detailed feedback reports to each learner. Conduct regular mock interviews (whiteboard and online coding platforms) to prepare participants for technical interviews at product-based and service-based companies. Continuous Improvement Stay current with evolving competitive programming trends, new problem-solving techniques, and popular contest formats (Codeforces, AtCoder, LeetCode weekly contests). Curate and update a catalog of “Top 100 Coding Problems” for each difficulty level (Easy, Medium, Hard) in both Java and C++. Collaborate with other training leads to share best practices, improve instructional design, and ensure alignment with industry expectations. Required Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Information Technology. Professional & Competitive Programming Experience Minimum 3 years of training on software development experience with a strong emphasis on data structures and algorithms. Proven track record in competitive programming: top percentile ranking on platforms such as LeetCode, Codeforces, HackerRank. Technical Proficiency C++ Expertise : Proficient in STL (containers, iterators, algorithms), advanced language features (templates, lambdas, move semantics), and experience in writing highly optimized code. Java Expertise : Proficient in Java Collections Framework, Java 8+ features (streams, lambda expressions), concurrency utilities, and familiarity with memory management in JVM. Algorithmic Mastery : Ability to devise and explain solutions for advanced graph algorithms (Dijkstra, Bellman-Ford, MST), dynamic programming (Knapsack, TSP, LCS, matrix chain), greedy approaches (scheduling, interval problems), backtracking (n-queen, Hamiltonian path), and randomized algorithms. Complexity Analysis & Optimization : Skilled at analyzing time/space complexities, optimizing code for performance (both asymptotic and constant-factor), and using profiling tools (gprof, Valgrind, VisualVM). Testing & Debugging : Proficient in debugging techniques (gdb, lldb, IntelliJ/VSCode debugger), and static analysis tools. Coding Platforms : Familiarity with setting up and administering coding challenge environments (HackerRank or custom judge), integrated development environments (VSCode or IntelliJ), and version control (Git/GitHub). Soft Skills Exceptional ability to explain abstract algorithmic concepts and problem-solving heuristics in a clear, structured manner. Strong classroom management and facilitation skills—capable of keeping learners engaged in fast-paced, high-pressure coding sessions. Excellent verbal and written communication skills, with the ability to provide constructive code reviews and articulate optimizations. Demonstrated patience and adaptability, able to coach learners of varying proficiency levels and adjust pace/content as needed. Show more Show less
As a Java Trainer with expertise in Spring Boot and Hibernate, you will be based in Chandigarh and will be responsible for delivering training sessions in an offline mode. This position is on a contract basis for a duration of 6 months to 1 year. To qualify for this role, you should hold a degree in BE/BTech/MCA in CS/IT and possess excellent verbal and written communication skills. Additionally, you should have a minimum of 2-4 years of experience as a Java Trainer. Your primary responsibilities will include conducting training sessions on a range of Java-related topics. You must have proficiency in the following areas: - Java Essentials: Exception Handling, Lambda Expressions, Annotations, Modules, Optionals, Dependency Injection, I/O Operations, and File Operations. - Java Collection: Array vs ArrayList, Set Map, Queue, Stack, Dequeue, Iterator, Collections. - Concurrency: volatile keyword, Java Memory Model, Threads and Virtual Threads, Synchronization. - Build Tools: Maven. - Functional Programming: High Order Functions. - Database Access: JDBC. - Spring Core: Introduction - Terminology and Architecture, Configuration, Dependency Injection, Spring IOC, Spring AOP and MVC, Spring Bean Scope. - Hibernate: Transactions, Relationships, Entity Lifecycle. - Spring Boot: Spring Boot Starters, Autoconfiguration, Actuators, Embedded Server. - Spring Security: Authentication and Authorization, OAuth2, JWT Authentications. - Spring Data: Spring Data JPA, Spring Data MongoDB, Spring Data JDBC. - Microservices: Spring Cloud Gateway, Cloud Config, Spring Cloud Circuit Breaker, Spring Cloud OpenFeign. - Spring MVC: Servlet, JSP Files, Architecture, Components. - Testing: Junit, JMeter. If you are passionate about Java training and possess the required qualifications and experience, we encourage you to apply for this opportunity and contribute to our team in Chandigarh.,
The Trainee - Inside Sales position is a 6-month internship opportunity located in Noida Sector 62, with the mode of working from the office. As a Trainee in the Inside Sales team, you will engage directly with B2C & B2B clients, offering solutions, fostering relationships, and enhancing customer satisfaction while contributing to the company's growth. Your responsibilities will include engaging with potential and existing B2B & B2C clients through various communication channels, responding to inquiries, meeting or exceeding sales targets, managing leads, developing product knowledge, updating client information in the CRM system, and collaborating with the marketing team to achieve sales goals. To qualify for this role, you should hold a Bachelors or Master's degree in Business Administration, Sales, Marketing, or a related field. Recent graduates or final-year students with an interest in sales are encouraged to apply. Additionally, you should possess excellent verbal and written communication skills, strong interpersonal skills, a proactive attitude, familiarity with B2C & B2B sales processes, self-motivation, and effective time management capabilities. As part of this role, you will receive hands-on training and mentorship to kickstart your sales career in a dynamic and fast-paced environment. You will also be offered a competitive stipend during the training period, with the potential for full-time opportunities based on your performance.,
We are seeking a highly motivated and knowledgeable No-Code AI & Machine Learning Trainer to deliver a practical, hands-on program that enables students to design, build, and deploy AI/ML solutions using no-code and low-code platforms. The trainer will bridge theory with practice, empowering students to implement machine learning, computer vision, NLP, and automation workflows without writing complex code. Key Responsibilities ● Deliver engaging sessions on AI/ML fundamentals and no-code tools such as Obviously.ai, Peltarion, Teachable Machine, and DataRobot. ● Conduct hands-on training on data preparation, model building, and deployment using cloud-based platforms (Google AutoML, Azure ML Studio). ● Guide students through real-world AI use cases including predictive analytics, chatbots, computer vision, and workflow automation. ● Mentor students in capstone projects—from dataset preparation to model deployment and presentation. ● Train students on AI app development using Bubble, Glide, and AppSheet. ● Introduce AI ethics, explainability, and responsible AI principles through case discussions and activities. ● Support academic coordinators in assessment design, progress tracking, and project evaluations. ● Stay current with emerging no-code AI tools and best practices to ensure industry relevance. Technical Expertise Required ● No-Code ML Platforms: Obviously.ai, Peltarion, Levity.ai, Teachable Machine, DataRobot ● AutoML Tools: Google AutoML, Azure ML Studio, AWS Sagemaker Canvas ● Data Tools: Airtable, Retool, Datawrapper, Google Sheets ● No-Code App Builders: Bubble, Glide, AppSheet ● Chatbot Builders: Dialogflow, Voiceflow, Landbot ● Automation Tools: Zapier, Make (Integromat), Power Automate ● Domains Covered: Machine Learning, Computer Vision, NLP, Predictive Analytics ● Cloud Platforms: GCP, Azure, AWS (for AutoML and deployment) Preferred Qualifications ● Bachelor’s / Master’s Degree in Computer Science, Artificial Intelligence, Data Science, or related field. ● 3–8 years of experience in AI/ML development, workflow automation, or data science education. ● Experience in teaching, mentoring, or corporate training (especially in no-code/low-code platforms). ● Strong understanding of machine learning concepts, including model evaluation, ethics, and deployment.Familiarity with AI integrations via APIs and automation workflows.
Job Overview We are seeking an experienced ETL and Data Engineering Trainer to deliver an industry-focused course on “Industry-Ready ETL Pipelines Development”. The trainer will guide students in mastering data extraction, transformation, loading, orchestration, and monitoring using both traditional and modern ETL tools with a focus on no-code and low-code platforms. Key Responsibilities • Deliver interactive and practical sessions on ETL concepts, data modeling, and pipeline automation. • Train students on ETL tools (Informatica, Talend, Pentaho) and modern orchestration frameworks (Airflow, AWS Glue, dbt, Prefect). • Guide learners through Python scripting, SQL transformations, and cloud-based data warehousing. • Mentor students during the Capstone Project, helping them build and present complete ETL pipelines. • Conduct hands-on labs, assignments, and periodic evaluations to measure learning outcomes. • Demonstrate real-world data engineering workflows integrating APIs, files, and databases. • Teach DataOps practices such as CI/CD, version control (Git), and automated testing for data quality. • Provide continuous feedback, troubleshooting assistance, and career-oriented guidance. Technical Skills Required • Python (Pandas, APIs, DB connectivity), Advanced SQL • ETL Tools: Talend, Informatica PowerCenter, Pentaho • Modern Stack: Apache Airflow, AWS Glue, dbt, Prefect • Databases: MySQL, PostgreSQL, MongoDB • Cloud Data Warehouses: Snowflake, BigQuery, Redshift, Azure Synapse • Version Control: Git, GitHub, Docker, CI/CD workflows • Visualization: Power BI or Tableau (preferred) Preferred Qualifications • Bachelor’s / Master’s Degree in Computer Science, Data Engineering, or related field. • 3–8 years of hands-on experience in Data Engineering / ETL Development. • Experience with data pipeline design, orchestration, and deployment. • Prior experience in academic teaching, corporate training, or technical mentoring preferred. • Strong understanding of data modeling, warehousing principles, and data governance. Soft Skills • Strong communication and presentation abilities. • Ability to explain complex concepts through real-world analogies and live demos. • Analytical thinking and problem-solving mindset. • Passion for mentoring and fostering student engagement. • Excellent time management and curriculum delivery discipline.
As a Sales Intern at MyAnatomy, you will be an integral part of our Sales team, engaging with clients, driving revenue growth, and fostering strong client relationships. Your role will involve the following key responsibilities: - Assist in identifying and reaching out to potential clients through various channels. - Support in the development of sales strategies and tactics to achieve company goals. - Conduct market research to uncover new business opportunities and stay ahead of industry trends. - Learn to effectively communicate the value proposition of our products to potential customers. - Collaborate with the team to prepare sales proposals, contracts, and reports. - Attend sales meetings, training sessions, and industry events to expand your network and knowledge base. Qualifications Required: - Education: B.Tech (CS/IT/EEE/ECE), M.Tech, MCA, & MBA graduates 2024 or 2025 batch. - Internship Duration: 1-year internship with a bond. - Work Mode: Full-time Work from the office (Noida Sector 62) - Bond: The candidates should be interested in signing a 1-year bond with us from the date of joining. About the Company: MyAnatomy offers a comprehensive training program that will equip you with the skills and knowledge needed to excel in the competitive world of sales. You will have the opportunity to work alongside seasoned professionals, gaining practical experience that will set you apart in your career. The internship provides a chance to dive headfirst into sales and business development, rather than just fetching coffee or filing paperwork. Additionally, successful candidates will have the chance for full-time employment based on performance evaluation at the end of the internship. Join us to experience a supportive and inclusive work culture, where your ideas are valued and encouraged. You will also benefit from mentorship and guidance from industry experts to help you reach your full potential. Don't miss this opportunity to network and build valuable connections in the industry while honing your skills in sales and business development.,
Job Overview We are seeking an experienced ETL and Data Engineering Trainer to deliver an industry-focused course on Industry-Ready ETL Pipelines Development. The trainer will guide students in mastering data extraction, transformation, loading, orchestration, and monitoring using both traditional and modern ETL tools with a focus on no-code and low-code platforms. Key Responsibilities Deliver interactive and practical sessions on ETL concepts, data modeling, and pipeline automation. Train students on ETL tools (Informatica, Talend, Pentaho) and modern orchestration frameworks (Airflow, AWS Glue, dbt, Prefect). Guide learners through Python scripting, SQL transformations, and cloud-based data warehousing. Mentor students during the Capstone Project, helping them build and present complete ETL pipelines. Conduct hands-on labs, assignments, and periodic evaluations to measure learning outcomes. Demonstrate real-world data engineering workflows integrating APIs, files, and databases. Teach DataOps practices such as CI/CD, version control (Git), and automated testing for data quality. Provide continuous feedback, troubleshooting assistance, and career-oriented guidance. Technical Skills Required Python (Pandas, APIs, DB connectivity), Advanced SQL ETL Tools: Talend, Informatica PowerCenter, Pentaho Modern Stack: Apache Airflow, AWS Glue, dbt, Prefect Databases: MySQL, PostgreSQL, MongoDB Cloud Data Warehouses: Snowflake, BigQuery, Redshift, Azure Synapse Version Control: Git, GitHub, Docker, CI/CD workflows Visualization: Power BI or Tableau (preferred) Preferred Qualifications Bachelor's / Master's Degree in Computer Science, Data Engineering, or related field. 38 years of hands-on experience in Data Engineering / ETL Development. Experience with data pipeline design, orchestration, and deployment. Prior experience in academic teaching, corporate training, or technical mentoring preferred. Strong understanding of data modeling, warehousing principles, and data governance. Soft Skills Strong communication and presentation abilities. Ability to explain complex concepts through real-world analogies and live demos. Analytical thinking and problem-solving mindset. Passion for mentoring and fostering student engagement. Excellent time management and curriculum delivery discipline.
Role Overview: As a No-Code AI & Machine Learning Trainer, your primary role will be to deliver a practical, hands-on program that equips students with the skills to design, build, and deploy AI/ML solutions using no-code and low-code platforms. You will play a vital part in bridging theoretical knowledge with practical applications, enabling students to implement machine learning, computer vision, NLP, and automation workflows without the need for complex coding. Key Responsibilities: - Deliver engaging sessions on AI/ML fundamentals and practical use of no-code tools like Obviously.ai, Peltarion, Teachable Machine, and DataRobot. - Conduct hands-on training sessions on data preparation, model building, and deployment using cloud-based platforms such as Google AutoML, Azure ML Studio. - Guide students through real-world AI use cases including predictive analytics, chatbots, computer vision, and workflow automation. - Mentor students in capstone projects covering dataset preparation, model deployment, and presentation, while also training them on AI app development using Bubble, Glide, and AppSheet. - Introduce concepts of AI ethics, explainability, and responsible AI principles through case discussions and activities. - Support academic coordinators in assessment design, progress tracking, and project evaluations. - Stay updated with emerging no-code AI tools and best practices to ensure relevance in the industry. Qualifications Required: - Bachelors/Masters Degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 3-8 years of experience in AI/ML development, workflow automation, or data science education. - Experience in teaching, mentoring, or corporate training, particularly in no-code/low-code platforms. - Strong understanding of machine learning concepts, including model evaluation, ethics, and deployment, with familiarity in AI integrations via APIs and automation workflows.,