AI/ ML Intern/ Freelance

Company Description

At Wabric, we're building the world's first country-centric, AI tech-enabled global fashion venture; where fashion is not just seasonal, but cultural. Our mission is to revolutionize the way people express identity through style, blending sustainability, technology, and local pride into every thread.

Founded by alumni of Stanford BioDesign, IIT Delhi, and AIIMS Delhi, Wabric is driven by the belief that "Fashion should reflect who you are, where you come from, and where the future is headed."

As a fast-growing fashion-tech startup, we empower individuality, expression, and innovation through a design process deeply rooted in data, culture, and creativity. Join our dynamic team to be part of the next wave of global fashion redefined for the modern world

Role Description

This is a Full-time/ part-time remote role for a Intern/ Freelance AI/ML Developer. The AI/ML Developer will be responsible for developing and implementing machine learning models and algorithms, focusing on pattern recognition and neural networks. The role involves tasks like software development, natural language processing (NLP), and close collaboration with cross-functional teams to integrate AI-driven solutions into our fashion platform.

Qualifications

• Minimum 6-12 months of Full-Time AI/ ML Development experience (Commercial Only)
• Experience in mobile/web ecommerce application development is a plus.
• Only Computer Science background graduate with B.Tech/ M.Tech or BS/ MS degrees.
• Integrate pre-trained ML/AI models (e.g., TensorFlow, PyTorch, OpenAI, Hugging Face) into backend systems.
• Expertise in Machine Learning, including Pattern Recognition and Neural Networks.
• Integrate pre-trained NLP and LLM models (GPT, LLaMA, Claude, Hugging Face models) into backend systems.
• Build APIs to serve AI-based features such as recommendation engines, NLP, or image/video analysis.
• Train, test, and deploy ML models for specific use cases like predictive analytics, anomaly detection, or personalization.
• Work with speech-to-text (STT) and text-to-speech (TTS) systems (e.g., Whisper, Google Speech API, Amazon Polly).
• Implement conversational AI, voice assistants, and multimodal AI experiences.
• Implement embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS) for semantic search and personalization.
• Build backend workflows that interact with LLMs (e.g., OpenAI GPT, Anthropic Claude) for text generation, code suggestions, or AI-powered search.
• Design prompt engineering pipelines and manage AI orchestration tools (LangChain, LlamaIndex).
• Handle data preprocessing, feature engineering, and pipeline automation.
• Work on ETL pipelines, data cleaning, and preparation for AI/ML workflows.
• Manage large datasets and optimize data storage for ML processing.
• Implement AI solutions for personalization, chatbots, recommendation engines, or fraud detection.
• Develop APIs for AI features like text generation, image recognition, or sentiment analysis.
• Programming Languages: Python (for AI/ML), (backend).
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face.
• Data: SQL/NoSQL, Pandas, NumPy, Spark.
• Cloud & DevOps: AWS Sagemaker, GCP AI Platform, Docker, Kubernetes, CI/CD pipelines.
• APIs: REST, GraphQL, FastAPI/Flask/Django.
• Voice Tech: Whisper, Google Speech API, Azure Cognitive Speech, Amazon Polly.
• Others: Git, testing frameworks, security best practices, experience with RAG (Retrieval Augmented Generation), vector databases (Pinecone, Weaviate, Milvus).
• Excellent problem-solving and analytical skills
• Ability to work independently and remotely

Job Type: Internship

Contract length: 8 weeks

Pay: ₹15, ₹20,000.00 per month

Benefits:

• Flexible schedule
• Work from home

Work Location: Remote