Join our global AI team at Pixirus to design, implement, and scale AI-powered workflows for digitization, OCR, NLP, and document AI. Work remotely from anywhere or in our offices in Pondicherry or France.

About the Company

Pixirus, operating under the brand AureXus, is a digital innovation company at the forefront of AI and machine learning solutions. Specializing in large-scale digitization, eLearning, and content management, the company designs intelligent systems that preserve knowledge, enhance discovery, and transform access for libraries, archives, museums, and enterprises worldwide. With offices in France and India, Pixirus is building a global AI team to tackle complex challenges in cultural heritage preservation, knowledge management, and digital learning.

Role Overview

We are seeking passionate AI Developers to join our expanding AI team. This role focuses on designing, implementing, and scaling AI-powered workflows for digitization and preservation of vast image/data collections, OCR and handwriting recognition, automated cataloguing, indexing, and metadata creation, and AI-driven document quality control. The ideal candidate will have a strong foundation in machine learning, deep learning, and NLP, with expertise in document AI, computer vision, and search optimization being a plus. You can work remotely from anywhere in the world or join our offices in Pondicherry (India) or France.

Key Responsibilities

• Develop, train, and optimize AI/ML models for OCR, NLP, and document AI using frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Automate cataloguing, indexing, and metadata tagging of cultural heritage collections using NLP and metadata extraction tools.
• Design AI workflows for digitization, recognition, and quality control using tools like OpenCV, Tesseract, and data pipeline systems.
• Enhance search and discovery systems using semantic search and embeddings with ElasticSearch, FAISS, or Pinecone.
• Collaborate with archivists, librarians, eLearning teams, and engineers to integrate AI solutions into production environments.
• Deploy models into scalable production environments with MLOps best practices using Docker, Kubernetes, and CI/CD pipelines.
• Document processes and participate in knowledge transfer and training programs.
• Fine-tune large language models (LLMs) for domain adaptation and integrate APIs like ChatGPT, Gemini, and Claude.

Tech Stack

• AI/ML Frameworks: PyTorch, TensorFlow, scikit-learn
• OCR & HWR: Tesseract, Kraken OCR, Calamari, TrOCR
• NLP & Metadata Extraction: Hugging Face Transformers, spaCy, GROBID
• Search & Indexing: ElasticSearch, Solr, FAISS, Pinecone
• Data Pipelines: Airflow, Spark, Pandas, MongoDB/PostgreSQL
• Document Processing: OpenCV, PyPDF2, XML/EPUB toolkits
• MLOps: MLflow, Docker, Kubernetes, CI/CD pipelines
• Generative AI & LLM Tools: ChatGPT API (OpenAI), Google AI Studio (Gemini), other GPTs (Claude, LLaMA, Mistral, Falcon), LangChain, LlamaIndex, Vector Databases (Pinecone, Weaviate, Milvus)

Bachelor’s/Master’s/PhD in Computer Science, Artificial Intelligence, Data Science, or related fields. Strong foundation in machine learning, deep learning, and NLP. Knowledge of document AI, OCR, computer vision, or search optimization is a plus. Excellent programming skills in Python; familiarity with Java/C++ is a plus. Good communication skills and ability to collaborate in global teams. Language skills: English essential; French highly desirable.

Provident Fund, Remote Work Options, Hybrid Work Model