AI Engineer / Machine Learning Engineer

Overview

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