AI Engineers for Diverse Projects (LLMs, Recommender Systems, CV, NLP, Pattern Matching)
Type: Remote / Part-time or Full-time
Location: Flexible (Global – Europe, Asia)
Experience: 3+ years in AI/ML
We’re assembling a world-class remote team of AI engineers to work across a portfolio of innovative projects. From fine-tuning large language models to building next-generation recommender systems, our work spans across industries like e-commerce, fintech, healthcare, and media.
This is your opportunity to contribute to meaningful AI applications in a flexible, international, engineering-driven environment.
Current Open Categories
We’re currently hiring AI experts in the following areas:
🔹 Large Language Models (LLMs)
Projects involving:
- Fine-tuning and instruction-tuning (LLaMA, Mistral, Falcon, GPT-J, etc.)
- Retrieval-Augmented Generation (RAG)
- Embedding-based search & ranking systems
- Chatbot and virtual assistant development
🔹 Recommender Systems
Projects involving:
- Hybrid recommendation engines (collaborative + content-based)
- Real-time personalization
- User behavior modeling & session-based predictions
- Implicit feedback systems
🔹 Computer Vision (CV)
Projects involving:
- Object detection, classification, segmentation (YOLO, Detectron2, UNet, etc.)
- Real-time video processing & anomaly detection
- OCR and visual search
- Industrial automation (e.g., quality control, safety monitoring)
🔹 NLP & Analytical AI Systems
Projects involving:
- Information extraction from unstructured data
- Entity linking and document understanding
- Sentiment & intent analysis
- Time-series forecasting & predictive analytics
🔹 Pattern Recognition & Signal Intelligence
Projects involving:
- Biometric recognition
- Sensor data analysis
- Audio & speech pattern modeling
- Rule-based & neural pattern detection
👩💻 Who You Are - 3+ years of experience in AI, ML, or Data Science
- Strong hands-on with Python and ML libraries (PyTorch, TensorFlow, etc.)
- Familiar with best practices in model training, evaluation, and deployment
- Comfortable working remotely and asynchronously
- Open to short or mid-term project-based work