Job Title: Placement Officer Location: Cyber Tower, Hitech City Hyderabad Type: Full-Time Experience Required: Minimum 2 - 4 years in EdTech industry Joining: Immediate Only Job Overview: We are seeking a dynamic and proactive Placement Officer with a strong background in the EdTech sector. The ideal candidate should possess a solid network of corporate clients, exceptional communication skills, and a proven track record in securing placement opportunities for students. This role requires travel for client visits and strong relationship management capabilities. Key Responsibilities: Build and maintain strong relationships with hiring partners and industry clients. Coordinate with companies to identify placement opportunities for students. Organize and conduct campus drives, interviews, and placement-related activities. Visit client offices and corporate campuses to pitch student profiles. Act as the bridge between students and companies to ensure smooth placement execution. Track and report placement performance metrics on a regular basis. Collaborate with the training and academic teams to align student readiness with industry demands. Required Skills & Qualifications: Must have prior experience in the EdTech industry in a placement or corporate relations role. Strong existing client connections in the IT, Tech, and non-tech industries. Willingness and ability to travel and meet clients in person. Excellent verbal and written communication skills. Strong negotiation, coordination, and relationship-building skills. Knowledge of MoU (Memorandum of Understanding) drafting or execution is a plus. Bachelor's degree required; MBA/PGDM is a plus. What We Offer: Dynamic and collaborative work environment Performance-based incentives Opportunities to work closely with top corporates 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]
The Placement Officer position at our organization located in Cyber Tower, Hitech City, Hyderabad is a full-time role requiring a minimum of 2 to 4 years of experience in the EdTech industry. As a Placement Officer, you will play a crucial role in creating placement opportunities for students by leveraging your corporate network, communication skills, and proven track record in the sector. Immediate joining is required for this position. Your primary responsibilities will include building and nurturing relationships with hiring partners and industry clients, collaborating with companies to identify placement opportunities, organizing campus drives and interviews, as well as conducting placement-related activities. Additionally, you will be expected to visit client offices and corporate campuses to present student profiles, facilitate smooth placement execution, and monitor placement performance metrics regularly. Collaboration with training and academic teams to ensure student readiness for industry demands is also a key aspect of this role. To excel in this role, you must have prior experience in the EdTech industry within a placement or corporate relations capacity. Possessing strong connections with clients in the IT, Tech, and non-tech sectors is essential. Your willingness to travel and engage with clients face-to-face, coupled with exceptional communication, negotiation, coordination, and relationship-building skills will be critical. Familiarity with MoU drafting or execution is advantageous. A Bachelor's degree is required, while an MBA/PGDM is considered a plus. In return, we offer a dynamic and collaborative work environment, performance-based incentives, and opportunities to engage closely with top corporates. If you meet the requirements and are enthusiastic about this opportunity, please send your resume to artishukla@datavalley.ai to apply for the Placement Officer position.,
Job Title: Placement Officer Location: Cyber Tower, Hitech City Hyderabad Type: Full-Time Experience Required: Minimum 2 - 4 years in EdTech industry Joining: Immediate Only Job Overview: We are seeking a dynamic and proactive Placement Officer with a strong background in the EdTech sector. The ideal candidate should possess a solid network of corporate clients, exceptional communication skills, and a proven track record in securing placement opportunities for students. This role requires travel for client visits and strong relationship management capabilities. Key Responsibilities: Build and maintain strong relationships with hiring partners and industry clients. Coordinate with companies to identify placement opportunities for students. Organize and conduct campus drives, interviews, and placement-related activities. Visit client offices and corporate campuses to pitch student profiles. Act as the bridge between students and companies to ensure smooth placement execution. Track and report placement performance metrics on a regular basis. Collaborate with the training and academic teams to align student readiness with industry demands. Required Skills & Qualifications: Must have prior experience in the EdTech industry in a placement or corporate relations role. Strong existing client connections in the IT, Tech, and non-tech industries. Willingness and ability to travel and meet clients in person. Excellent verbal and written communication skills. Strong negotiation, coordination, and relationship-building skills. Knowledge of MoU (Memorandum of Understanding) drafting or execution is a plus. Bachelor's degree required; MBA/PGDM is a plus. What We Offer: Dynamic and collaborative work environment Performance-based incentives Opportunities to work closely with top corporates 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ] or can apply through Linkedin
Location: Cyber Towers, Hyderabad & Vijayawada 🏢 Company: Datavalley India Private Limited 📅 Type: Full-Time (Immediate Joiner) 🎓 Education: B.Tech in Computer Science, Data Science, Artificial Intelligence, or related branches 🧪 Experience: 1 - 5 Years About Datavalley.ai: Datavalley.ai is a forward-thinking AI company revolutionizing industries through advanced Machine Learning and Deep Learning solutions. Based in Hyderabad’s tech core, Cyber Towers, we engineer scalable AI systems that transform raw data into powerful business intelligence. At Datavalley.ai, we train fresh minds into AI professionals who build with impact. Roles & Responsibilities: Design and implement Machine Learning and Deep Learning algorithms. Work on data preprocessing, feature engineering, and model evaluation. Build and deploy models using: - Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, SVM, K-Means, PCA - Deep Learning: ANN, CNN, RNN, LSTM, Transfer Learning (ResNet, VGG, BERT) - AI Applications: NLP, Computer Vision, Recommendation Systems Use Python and tools like Scikit-learn, TensorFlow, Keras, PyTorch. Collaborate with teams to deploy models using Flask, FastAPI, Streamlit. Skills Required: Strong programming skills in Python Experience with NumPy, Pandas, Matplotlib, Seaborn Knowledge of Scikit-learn, TensorFlow, Keras, PyTorch Understanding of model evaluation metrics (Accuracy, Precision, Recall, F1-score) Familiarity with SQL, basic knowledge of NoSQL (MongoDB) Comfortable with Jupyter/Colab, Git, and version control Basic exposure to Flask/FastAPI for deployment Qualifications: B.Tech in Computer Science, AI & ML, Data Science, or related disciplines Strong foundation in algorithms, mathematics, and statistics Ability to build, train, and evaluate ML/DL models Project or internship in AI/ML is preferred 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]
We are urgently seeking an experienced trainer to facilitate a college-based training program focused on Mern Full Stack with DSA in Guntur District. The training program is scheduled to commence on 4th August 2025 and will run for a duration of 3 months. The trainer should possess a minimum of 3+ years of relevant experience and be proficient in both Telugu and English languages. The ideal candidate should have a strong background in Frontend Technologies such as HTML, CSS, JavaScript, Bootstrap, and React.js, as well as Backend Technologies including Node.js, Express.js, and MongoDB. The training sessions will be conducted offline as part of the college-level program. Candidates who are passionate about teaching and mentoring college students are encouraged to apply for this position. Interested trainers are requested to contact us promptly at 9256899199. Early applications will be given priority consideration due to the urgent nature of this requirement.,
About the Job Company Description: DataValley is a multinational company specializing in IT Training, Placements, and IT Solutions. We empower students and professionals through cutting-edge training programs, workshops, internships, hackathons, and certifications across a wide range of technologies. With a strong industry presence, DataValley bridges the gap between academia and the corporate world by delivering real-time, practical learning experiences. Role Description: This is a full-time, on-site role for a Technical Trainer at DataValley. The Technical Trainer will be responsible for delivering engaging training sessions, mentoring students, preparing learning materials, and evaluating student performance. The role requires strong technical knowledge along with excellent teaching and communication skills. Responsibilities: Conduct interactive and effective training sessions for B.Tech and MCA students. Design, develop, and continuously update training content, PPTs, assignments, and project work. Assess student performance and provide constructive feedback. Stay updated with the latest industry trends and integrate them into training programs. Mentor and guide students in practical problem-solving and project-based learning. Qualifications: B.Tech / MCA / M.Tech in Computer Science, IT, or related fields.( Freshers also can apply) Strong communication, presentation, and mentoring skills. Ability to explain technical concepts clearly and simply. Proficiency in at least one of the following: MERN/MEAN Stack, Java, Python, Data Science, or related technologies. Prior teaching/training experience is preferred but not mandatory (freshers with strong technical knowledge and teaching interest can also apply).
Job Title: Placement Head Location: Cyber Tower, Hitech City Hyderabad Type: Full-Time Experience Required: Minimum 2 - 4 years in EdTech industry Joining: Immediate Only Job Overview: We are seeking a dynamic and proactive Placement Head with a strong background in the EdTech sector. The ideal candidate should possess a solid network of corporate clients, exceptional communication skills, and a proven track record in securing placement opportunities for students. This role requires travel for client visits and strong relationship management capabilities. Key Responsibilities: Build and maintain strong relationships with hiring partners and industry clients. Coordinate with companies to identify placement opportunities for students. Organize and conduct campus drives, interviews, and placement-related activities. Visit client offices and corporate campuses to pitch student profiles. Act as the bridge between students and companies to ensure smooth placement execution. Track and report placement performance metrics on a regular basis. Collaborate with the training and academic teams to align student readiness with industry demands. Required Skills & Qualifications: Must have prior experience in the EdTech industry in a placement or corporate relations role. Strong existing client connections in the IT, Tech, and non-tech industries. Willingness and ability to travel and meet clients in person. Excellent verbal and written communication skills. Strong negotiation, coordination, and relationship-building skills. Knowledge of MoU (Memorandum of Understanding) drafting or execution is a plus. Bachelor's degree required; MBA/PGDM is a plus. What We Offer: Dynamic and collaborative work environment Performance-based incentives Opportunities to work closely with top corporates 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]
Key Responsibilities: Build and maintain strong relationships with hiring partners and industry clients. Coordinate with companies to identify placement opportunities for students. Organize and conduct campus drives, interviews, and placement-related activities. Visit client offices and corporate campuses to pitch student profiles. Act as the bridge between students and companies to ensure smooth placement execution. Track and report placement performance metrics on a regular basis. Collaborate with the training and academic teams to align student readiness with industry demands. Required Skills & Qualifications: Must have prior experience in the EdTech industry in a placement or corporate relations role. Strong existing client connections in the IT, Tech, and non-tech industries. Willingness and ability to travel and meet clients in person. Excellent verbal and written communication skills. Strong negotiation, coordination, and relationship-building skills. Knowledge of MoU (Memorandum of Understanding) drafting or execution is a plus. Bachelor's degree required; MBA/PGDM is a plus.
We’re hiring: Managers / Senior Managers — Placements & Corporate Relationships (Multiple roles) | Hyderabad Datavalley is scaling placements and industry partnerships across Hyderabad & Bengaluru. If you’ve closed campus drives, signed MoUs, and can open doors fast, we want you. CTC: ₹ 8 LPA – 22 LPA (role & experience) + performance incentives Hyderabad-based, strong employer network, great communication, relentless on outcomes. MBA preferred (not mandatory). Apply: LinkedIn Easy Apply or email your CV to careers@datavalley.ai with subject “Placements & CR — Hyderabad”. Job Description (detailed) Role: Managers / Senior Managers — Placements & Corporate Relationships (Multiple positions) Location: Hyderabad (on-site; frequent local travel; occasional Bengaluru trips) Compensation: ₹ 8 LPA – 22 LPA (based on level & experience) + performance incentives Employment type: Full-time Why this role exists Drive employer partnerships and convert them into interviews, offers, and joiners. You own the end-to-end placements engine—pipeline → drives → offers → joins—working closely with training, operations, and student success. What you’ll do (Responsibilities) Build and grow a portfolio of employer accounts in Hyderabad (and nearby markets), focusing on tech, product, services, and startup ecosystems. Source & close campus drives, pooled drives, hackathons, internship programs, and lateral fresher intakes. Own the pipeline: target lists, outreach, first meetings, capability pitches, JD intake, scheduling, selection coordination, offer negotiation, and post-offer follow-up for joiner conversion. Activate your network to secure quick-win drives within the first 30–45 days. Maintain accurate CRM hygiene (accounts, contacts, stages, notes, next actions). Forecast weekly: drives scheduled, interviews planned, offers expected, joiners projected. Partner with training/academics to align candidate supply with employer JDs (skills, batch readiness, certifications). Represent Datavalley at job fairs, industry bodies, and partner events; drive MoUs with colleges/companies where relevant. What success looks like (KPIs) New employer logos opened per month, and active accounts maintained Drives scheduled and interview volume delivered Offers released and offer-to-join conversion Repeat hiring from existing accounts & NPS from recruiters/hiring managers CRM accuracy and cycle time from JD → drive → offer What you’ll need (Qualifications) For Manager: 2–6 years in placements / corporate relations / talent partnerships, preferably in EdTech, skilling, staffing, or university relations. For Senior Manager: 6–12+ years with demonstrable track record of closing high-volume fresher drives and repeat employer business. Strong Hyderabad network: Bengaluru connects are a plus. Excellent relationship management, communication, and negotiation skills. MBA preferred but not mandatory, outcomes and network matter more. Comfortable with CRM tools, WhatsApp/Email cadence, and weekly reporting. Languages: English essential; Telugu/Hindi a strong plus. What we offer ₹ 8LPA – 22 LPA based on level + performance incentives tied to offers and joiners High autonomy, direct access to leadership, and the ability to shape our employer network playbook Clear targets, quick decisions, and fast feedback loops How to apply Send your resume to careers@datavalley.ai with subject “Placements & CR — Hyderabad”. Include: (1) 10–15 companies you can activate in 30 days, (2) best 3 placement wins (with context), (3) two references from recruiters/HR you’ve worked with. Alternatively, apply via LinkedIn. Equal Opportunity We hire for skills and outcomes. All qualified applicants will receive equal consideration irrespective of gender, age, religion, or background.
Position: AI/ML Mentor/Trainer Contract Type: Fulltime Location: Hyderabad, India Company Description Datavalley Inc. is a leading multinational corporation, with headquarters in the USA and a strategic presence across the UK, Dubai, and India. As a global leader, Datavalley drives innovation and empowers industries by delivering high-performance solutions and training programs in AI, Machine Learning, Data Science, Big Data, Cloud, DevOps, Full Stack Development, and Advanced Analytics. Our dedicated development center ensures impactful execution, fostering real-world innovation and building the future of technology through expertise and collaboration. What you will do: Train and mentor students and professionals in AI and Machine Learning through hands-on programs. Key Responsibilities: Deliver engaging training sessions starting from Python Programming, ML, DL to Advanced AI modules - GenAI, Agentic AI, Advanced AI Concepts, tools, and frameworks Mentor learners on practical projects and provide technical guidance Create Course Materials, Hands-on documentation, Assignments and Interview Preparation guides. Assign relevant projects, homework, and assessments to evaluate student progress and learning. Record and publish video explanations on Datavalley LMS & Social Handles. Qualifications A Bachelor's or Master’s degree in Computer Science, Data Science, or a related field is preferred. Strong expertise in AI, ML, DL, GenAI, LLMs, RAG, Agentic AI, MLOPs and other advanced AI concepts Experience in Python Programming, AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. LLM frameworks and tools like langchain, crewai, Ollama, Langgraph etc. Experience in Cloud services (AWS, Azure, or Google Cloud) and Big Data Engineering is a bonus. Proven prior training or mentorship experience preferred. Excellent communication and presentation skills.
Position: AI/ML Mentor/Trainer Type: Fulltime Location: Onsite, Hyderabad, India Company Description Datavalley Inc. is a leading multinational corporation, with headquarters in the USA and a strategic presence across the UK, Dubai, and India. As a global leader, Datavalley drives innovation and empowers industries by delivering high-performance solutions and training programs in AI, Machine Learning, Data Science, Big Data, Cloud, DevOps, Full Stack Development, and Advanced Analytics. Our dedicated development center ensures impactful execution, fostering real-world innovation and building the future of technology through expertise and collaboration. What you will do: Train and mentor students and professionals in AI and Machine Learning through hands-on programs. Key Responsibilities: Deliver engaging training sessions starting from Python Programming, ML, DL to Advanced AI modules - GenAI, Agentic AI, Advanced AI Concepts, tools, and frameworks Mentor learners on practical projects and provide technical guidance Create Course Materials, Hands-on documentation, Assignments and Interview Preparation guides. Assign relevant projects, homework, and assessments to evaluate student progress and learning. Record and publish video explanations on Datavalley LMS & Social Handles. Qualifications A Bachelor's or Master’s degree in Computer Science, Data Science, or a related field is preferred. Strong expertise in AI, ML, DL, GenAI, LLMs, RAG, Agentic AI, MLOPs and other advanced AI concepts Experience in Python Programming, AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. LLM frameworks and tools like langchain, crewai, Ollama, Langgraph etc. Experience in Cloud services (AWS, Azure, or Google Cloud) and Big Data Engineering is a bonus. Proven prior training or mentorship experience preferred. Excellent communication and presentation skills. Note: If you have applied already in the past, please do not apply again. We keep your profiles with us and consider it.
Selected Intern's Day-to-day Responsibilities Include Code project modules and features Collaborate with teammates and mentors Prepare and update project documentation About Company: At Datavalley, we transform the world by making complex data simple through intelligence and cutting-edge technologies. As a leading multinational corporation, we cultivate high-performing data experts and deliver innovative IT solutions globally. With our headquarters in the USA and strategic offices in the UK, Dubai, and India, we offer premier training and consulting in AI, ML, Data Science, Big Data, Cloud, DevOps, Full Stack Development, and Advanced Analytics. Our expertise empowers organizations to achieve extraordinary success, turning data challenges into opportunities and pioneering the future of technology across industries
Freelance Cognizant Placement Trainer (Java, DSA & Coding) Position Title: Cognizant Placement Trainer (Freelance) Contract Duration: 15 working days Location: Remote/Online (or specify location as needed) Engagement Type: Freelance/Short-Term Contract About the Role We are seeking an experienced Cognizant Placement Trainer to deliver a comprehensive technical and coding interview preparation program for freshers targeting Cognizant recruitment drives. The focus will be on Java, Data Structures & Algorithms (DSA), and coding skills aligned to Cognizant’s campus recruitment requirements. Key Responsibilities Conduct structured online/offline training sessions focused on: Java programming concepts and applications Data Structures & Algorithms (DSA), problem solving and technical tests Cognizant-specific coding patterns and interview rounds Mock technical interviews, coding tests, and solution discussions Provide practice resources, coding assignments, and recent Cognizant-related questions Deliver at least one mock interview/coding test per trainee with personalized feedback Track and report trainees' progress, addressing individual learning gaps Resolve doubts and provide ongoing technical clarification throughout the engagement Desired Profile Prior experience as a Placement Trainer, Interview Coach, or Faculty specializing in Java/DSA for Cognizant or similar IT/MNC placement drives In-depth knowledge of Cognizant recruitment pattern for technical roles, recent coding questions, and Java/DSA requirements Strong communication and mentoring skills Ability to motivate and help candidates succeed in a fast-paced, 15-day format Engagement Details Freelance/contract position for 15 working days Remuneration to be discussed, based on experience Flexible session timing (including evenings/weekends as per batch convenience) Immediate joiner preferred How to Apply Interested candidates may send their updated CV and a brief summary of relevant training experience to 91389 81888 (WhatsApp/Call).
Freelance Cognizant Placement Trainer (Java, DSA & Coding) Position Title: Cognizant Placement Trainer (Freelance) Contract Duration: 15 working days Location: Remote/Online (or specify location as needed) Engagement Type: Freelance/Short-Term Contract About the Role We are seeking an experienced Cognizant Placement Trainer to deliver a comprehensive technical and coding interview preparation program for freshers targeting Cognizant recruitment drives. The focus will be on Java, Data Structures & Algorithms (DSA), and coding skills aligned to Cognizant's campus recruitment requirements. Key Responsibilities Conduct structured online/offline training sessions focused on: Java programming concepts and applications Data Structures & Algorithms (DSA), problem solving and technical tests Cognizant-specific coding patterns and interview rounds Mock technical interviews, coding tests, and solution discussions Provide practice resources, coding assignments, and recent Cognizant-related questions Deliver at least one mock interview/coding test per trainee with personalized feedback Track and report trainees progress, addressing individual learning gaps Resolve doubts and provide ongoing technical clarification throughout the engagement Desired Profile Prior experience as a Placement Trainer, Interview Coach, or Faculty specializing in Java/DSA for Cognizant or similar IT/MNC placement drives In-depth knowledge of Cognizant recruitment pattern for technical roles, recent coding questions, and Java/DSA requirements Strong communication and mentoring skills Ability to motivate and help candidates succeed in a fast-paced, 15-day format Engagement Details Freelance/contract position for 15 working days Remuneration to be discussed, based on experience Flexible session timing (including evenings/weekends as per batch convenience) Immediate joiner preferred How to Apply Interested candidates may send their updated CV and a brief summary of relevant training experience to 91389 81888 (WhatsApp/Call).
Hiring: Agentic AI Trainer (Contract Basis – 2 Months) Location: Eluru Start Date: 8th December Daily Workload: 6 hours | 2 batches Company Description Datavalley Inc. is a multinational corporation dedicated to transforming complex data into actionable intelligence through advanced technologies. Headquartered in the USA, Datavalley has a global presence with operations in the UK, Dubai, India, and more. The company specializes in delivering high-performance training programs in AI, Machine Learning, Data Science, Big Data, Cloud, DevOps, Full Stack Development, and Advanced Analytics. Through its premier upskilling initiatives and innovative development center, Datavalley drives cutting-edge solutions that shape the future of technology across diverse industries. About the Role The trainer will lead classroom-based sessions focused on Agentic AI—one of the fastest-growing areas in technology. This program covers everything from Python basics to multi-agent systems and workflow automation using n8n and agent frameworks like CrewAI. You will mentor students, help them build real-world agentic applications, guide them through mini-projects, and ensure they develop a strong functional understanding of modern AI stacks. This is an on-site, contract-based role suitable for professionals who enjoy teaching and want to work directly with engineering students to shape their career paths. Trainer Responsibilities Deliver clear, engaging, and well-structured sessions on Agentic AI concepts. Teach foundational and advanced topics including agents, LLMs, RAG, embeddings, and multi-agent systems. Demonstrate tool-based implementations using CrewAI, LangChain Agents, vector DBs, and n8n. Help students work on real-time mini-projects and guide them through hands-on coding tasks. Clarify conceptual and practical doubts to ensure strong learning outcomes. Maintain classroom discipline, student engagement, and consistent learning progression. Provide weekly updates on training progress, student performance, and project completion. Help students understand how Agentic AI applies to real-world industry use cases. Support students during project evaluations, code reviews, and debugging sessions. Ensure timely coverage of the curriculum within the scheduled program duration. Required Skills & Expertise Strong understanding of Agentic AI, LLM foundations, and AI agent architectures. Practical experience with any agent framework such as CrewAI, LangChain Agents, AutoGen, or similar. Good working knowledge of Python, APIs, JSON handling, NLP basics, and embeddings. Familiarity with vector databases (FAISS, Pinecone, ChromaDB, etc.) and RAG pipelines. Hands-on exposure to workflow automation tools, preferably n8n. Ability to break down complex concepts into easy-to-understand explanations for students. Strong communication skills and a student-friendly approach to teaching. Commitment to delivering consistent, high-quality sessions throughout the 2-month period. Program Curriculum (Trainer must handle all below modules)Module 1: Python Foundations for AI Python environment setup Data types, loops, functions, modules Working with APIs and JSON AI-relevant libraries Mini Project Module 2: Agentic AI Foundations What are AI agents? Agent vs Traditional automation Agent capabilities & design patterns AI agent ecosystem overview Mini Project Module 3: NLP & LLM Applications Text preprocessing, tokenization, embeddings NLP tasks: NER, sentiment, classification Transformer basics & attention LLM architecture & model landscape API integration Mini Project Module 4: Prompt Engineering Foundations of prompt design Advanced techniques for agent prompts Testing & optimization Mini Project Module 5: Context Engineering Memory types, strategies Dynamic retrieval & context window management Multi-source context integration Mini Project Module 6: RAG & Vector Databases RAG concepts Embeddings & semantic search Vector database architecture Building RAG pipelines Mini Project Module 7: Building AI Agents Agent frameworks overview Tool schemas & integration State & memory management Agent patterns & design Mini Project Module 8: Multi-Agent Systems Coordination & communication patterns CrewAI fundamentals Building agent teams Mini Project Module 9: A2A & MCP Protocols Agent interoperability Understanding A2A & MCP Use cases & comparison Mini Project Module 10: Agentic Workflows Workflow patterns, error handling State management Human-in-the-loop concepts Mini Project Module 11: Workflow Automation Tools n8n basics AI-powered workflow creation Integrating RAG & multi-agent components Mini Project Why Join Us as a Trainer? Opportunity to teach cutting-edge technology in the emerging field of Agentic AI. Work with enthusiastic B.Tech students who are eager to learn and build real AI projects. Get hands-on exposure to modern Agentic frameworks, workflows, and automation tools. Stable monthly remuneration and structured work schedule. A strong platform to showcase your expertise in AI education. Interested or Know Someone Suitable? Please contact: 9256899199 We look forward to onboarding talented trainers who can inspire, guide, and create meaningful