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
Published 1 July
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