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1 Job openings at J F Knowledge center
AI Engineer / Machine Learning Engineer

India

0 years

INR Not disclosed

On-site

Full Time

About Creditors Academy: At Creditors Academy, we’re revolutionizing financial and legal education using cutting-edge technology. We empower learners with powerful tools to understand credit, law, and sovereignty in the modern age. Now, we’re building a next-generation, AI-powered Learning Management System (LMS) that integrates content generation, adaptive learning, and smart engagement into a single platform. We are looking for a high-potential AI Engineer / Machine Learning Engineer who will be the driving force behind the development of AI features , AI-generated content, and ML infrastructure for our educational ecosystem. Role Overview: As an AI Engineer at Creditors Academy , you will work closely with product, design, and instructional teams to build a smart LMS that thinks, talks, draws, teaches, and evaluates . You will implement AI/ML models, automate content creation, and integrate third-party AI tools into the system. This is a hybrid role that combines hands-on development , prompt engineering , and AI system design — with end-to-end ownership of features that touch thousands of learners. Key Responsibilities:1. AI-Powered Content Creation & Automation Build systems that use LLMs (like GPT-4, Claude, etc.) to: Auto-generate course modules, lesson plans, descriptions, quizzes Write AI scripts for voiceovers, explainers, or chatbot tutors Summarize complex credit/law topics into digestible content Develop AI workflows that automate: Comics and visual storytelling Educational video generation (via tools like RunwayML, Pika, Synthesia) AI voiceovers (via ElevenLabs, Descript, etc.) Image generation (via Midjourney, DALL·E, Stable Diffusion) 2. AI/ML System Design & Training Fine-tune or train models to: Deliver personalized learning journeys Analyze user progress and suggest improvements Power AI tutors/chatbots that can answer legal and credit-related queries Build AI capabilities for: AI picture reader (image-to-text for PDFs, legal forms, etc.) Auto-marking and adaptive assessments Generating dynamic learning feedback 3. LMS Development with Embedded AI Co-develop our custom LMS platform with inbuilt AI tools: AI-assisted content editing Admin dashboards with analytics Student activity tracking with real-time insights Integrate AI with: Shopify for storefront automation (course sales, upsells) Stripe or Razorpay for payments Multimedia delivery systems 4. Data Engineering & Model Performance Create structured data pipelines for: Tracking learner progress Model training (behavioral prediction, quiz scoring) Monitor, evaluate, and optimize AI model performance Ensure secure data storage, ethical AI usage, and compliance with privacy laws Required Skills & Qualifications: Educational Background: B.Tech / B.E. / M.Tech in Computer Science, Artificial Intelligence, Data Science, or a related field Core Technical Skills: Python (NumPy, Pandas, FastAPI/Flask) Machine Learning & NLP: Scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers Familiarity with OpenAI, Claude, Gemini, or similar APIs Generative AI (LLMs, text-to-image, text-to-video tools) Git/GitHub, REST APIs, containerized deployments (Docker) AI Tools Experience (Preferred): ChatGPT, Claude, Copilot (for content) Midjourney, DALL·E, RunwayML, Pika (for media) ElevenLabs, Descript, PlayHT (for voiceovers) LangChain, Pinecone, Weaviate (for retrieval-augmented generation) Bonus Skills (Nice to Have): Prompt engineering for educational use cases Shopify app or store integrations Web backend frameworks: Node.js, Django, or similar Experience with LMS tools (Moodle, TalentLMS, or custom LMS) Google Cloud / AWS / Azure AI services What You Will Gain: Lead the AI vision for a cutting-edge EdTech platform Hands-on access to the latest AI tools and APIs Creative freedom to experiment with AI-generated education Collaborate directly with domain experts, designers, and founders Competitive salary with growth-based incentives Application Process: To apply, send your: Resume / CV GitHub or portfolio link (with relevant AI/ML projects) Optional: A short note describing an AI tool you’ve built or integrated Job Type: Full-time Pay: ₹17,000.00 - ₹25,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

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