Company: Whatmaction Location: Ahmedabad (On-site) About the Opportunity: Are you a fresh graduate ready to take your skills to the next level with real AI and ML work — not just tutorials? Whatmaction is offering an exclusive opportunity to join us as an AI/ML Solution Engineer Intern , where you will be part of an elite training and development program designed to shape you into a high-performing tech professional. If you’re ready to build AI models from scratch and take on challenges like a tech soldier — this is for you. What You’ll Experience: 8 Months of Intense Training Think of it as a military-grade bootcamp for your brain — hands-on learning, projects, deadlines, and AI model development. Real-World AI/ML Projects Work closely with senior engineers to build production-grade AI/ML solutions. Deep Tech Exposure: Resume parsers, NLP applications, AI chatbots, ML-based automation systems, and more. Post-Training Commitment: 1.5-year bond after training — to work with us on exciting projects and gain incredible industry experience. Key Skills & Technologies: Languages: Python (strong foundation required) Libraries & Tools: SpaCy, scikit-learn, TensorFlow/PyTorch (preferred), Pandas, NumPy Core Concepts: Machine Learning Algorithms Natural Language Processing (NLP) Data Preprocessing & Feature Engineering Model Evaluation & Tuning Bonus Skills (Good to Have): Exposure to OpenAI APIs REST APIs and backend basics Git & Version Control Who Should Apply? Fresh graduates (2023–2025 pass-outs) from B.Tech/MCA/BCA or similar backgrounds. You have strong problem-solving skills and a passion for learning. You are committed to completing an intensive training and the post-training bond. You’re not just looking for a job — you want to build things with impact. Are You Ready for the Challenge? This is not a regular internship. It’s a transformative opportunity to build a real AI career from the ground up. 📩 Send your resume to: hr@whatmaction.com 📍 Location: Ahmedabad (Office-based only) Show more Show less

🚀 AI/ML Solution Engineer Internship (On-site, Ahmedabad) Start Your Real Tech Career — Build. Deploy. Scale. Location: Ahmedabad (Office-based Only) Internship Duration: 8 Months Training + 1.5 Year Post-Training Bond About the Opportunity: Are you a recent graduate eager to move beyond online courses and actually build and deploy real AI models ? Whatmaction is offering a career-launching opportunity as an AI/ML Solution Engineer Intern — not just an internship, but a full-fledged deep tech journey . If you’re serious about working with production-grade AI, this is where your transformation begins. What You’ll Experience: 🧠 8 Months of Intense Training Like a bootcamp for your brain — hands-on learning, project-based tasks, and direct mentoring from senior engineers. ⚙️ Real-World AI/ML Projects Build and deploy production-level AI systems , including resume parsing tools, chatbots, and smart automation systems. 📦 Model Development: From Scratch & Prebuilt You’ll train models using open-source datasets, fine-tune pre-trained models, and learn how to build custom models from scratch — the real way. 🚀 Production Deployment You’ll also gain hands-on experience in model deployment , REST API integration, and making models accessible in real-time applications. Key Skills & Tech Stack: Languages: Python (strong foundation required) Bash/Shell scripting (basic) AI/ML Libraries: Scikit-learn SpaCy TensorFlow / PyTorch Keras Transformers (Hugging Face) XGBoost / LightGBM OpenCV (for CV tasks) Pandas / NumPy Matplotlib / Seaborn Tools & Platforms: Jupyter Notebooks / Google Colab Git & GitHub Postman Docker (for packaging ML apps) MLflow (for model tracking and versioning) Streamlit / FastAPI / Flask (for ML APIs) Firebase / AWS / Render (for model hosting) PostgreSQL / MongoDB (data handling) Core Concepts: Supervised / Unsupervised Learning Data Preprocessing & Feature Engineering Natural Language Processing (NLP) Model Evaluation & Hyperparameter Tuning Working with Pre-trained Embeddings ML Model Deployment (API-first mindset) Bonus Skills (Good to Have): Working with OpenAI / Hugging Face APIs Building AI Chatbots Basic Backend API skills (FastAPI preferred) Version control with Git Using LangChain / RAG techniques (optional) Who Should Apply: Fresh graduates (2023–2025) from B.Tech / MCA / BCA / M.Sc IT or equivalent. Passionate about AI, ML, and solving real-world problems . Willing to commit to 8 months of full-time training and 1.5-year project bond . Looking to build an actual career , not just do tasks. 📩 How to Apply: Send your updated resume to hr@whatmaction.com with the subject “AI/ML Internship Application – [Your Name]” 🔒 Note: This is an on-site only opportunity. Remote applications will not be considered. This is your launchpad. Build, deploy, and ship AI products that matter — with us at Whatmaction. Show more Show less

Location: Ahmedabad (on-site) Schedule: Monday–Friday, full-time Learning Model: Mentored learning with weekly 1-to-1 check-ins and code reviews Program Timeline & Stipend Months 1-3 (Foundation): Unpaid. Months 4-6 (Contribution): ₹5,000/month. Post-Internship: Performance review with the goal of converting at least 70% of interns to a paid junior-engineer role. What You Will Work On Design, build, and test RESTful APIs using Spring Boot, Spring MVC, and Spring REST. Contribute to a microservices architecture—service discovery, fault tolerance, and observability. Participate in the complete SDLC: requirement analysis, coding, unit testing, peer reviews, and cloud deployment. Write clean, maintainable code that applies OOP principles and patterns such as DAO, DTO, and MVC. Handle JSON/XML data; implement XSL, XSLT, and XPath transformations; parse via SAX, DOM, and JAXB. Help automate build, test, and deployment pipelines (CI/CD) and container orchestration setups. Collaborate in agile ceremonies (daily stand-ups, sprint reviews) and document technical decisions. Showcase continual self-learning through mini-projects, LeetCode/GFG challenges, and peer knowledge-shares. What You Should Already Know Solid Java 8+ fundamentals: collections, concurrency, JVM basics. Ability to solve algorithm problems at medium-easy to hard-easy level on LeetCode or GeeksforGeeks. Working SQL knowledge: self-joins, inner/left joins, grouping, indexing. Familiarity with cloud deployment concepts (AWS/GCP/Azure) and containerization. Basic understanding of infrastructure-as-code, logging, and monitoring. What You’ll Learn Here Deep dive into the Spring ecosystem: Spring Boot, Spring Cloud, and security modules. Microservice patterns—circuit breakers, distributed tracing, and centralized configuration. End-to-end DevOps workflow with Docker, Kubernetes, and CI tools such as GitHub Actions or Jenkins. Production-grade observability: metrics, structured logging, alerts. Best practices for code reviews, documentation, and collaborative software delivery. Nice-to-Have Extras Front-end basics (React or Angular) for simple internal dashboards. Hands-on exposure to AWS services like EC2, S3, RDS, or Lambda. Comfortable with Git branching strategies and pull-request workflows. Perks Beyond the Stipend Dedicated senior-engineer mentor and weekly office hours. Oracle or JetBrains Java certification voucher for interns who meet eligibility criteria during the performance review. Spotlight blog post featuring your capstone project on the company’s LinkedIn page. Flexible hours during university exam weeks. Letter of recommendation signed by our senior engineering lead upon successful completion. Eligibility Final-year students or recent graduates in Computer Science, IT, or related fields. Able to commit on-site in Ahmedabad for at least six months. Demonstrated passion for backend engineering and self-driven learning. Application Timeline Apply by 15 Aug 2025 to join the September cohort. Applications are reviewed on a rolling basis; early submissions receive priority. How to Apply Email the following to hr@whatmaction with the subject line “Java Spring Boot Intern Ahmedabad”: Updated résumé. GitHub/LeetCode profiles. A brief note (≤150 words) about a Java project or algorithm problem you’re proud of. We look forward to building great software—and your career—together.