AI Engineer

London, United Kingdom | Posted on 07/01/2025

At Deriv, we are at the cutting edge of financial technology, revolutionizing CFD trading through AI. Our goal is to automate and optimize all aspects of operations, delivering unparalleled performance, innovation, and scalability. We are looking for a highly skilled AI Engineer to lead the development of sophisticated AI-driven systems that empower our business.

As an AI Engineer at Deriv, you will design and implement advanced AI solutions, integrating them across all operational facets, from trading algorithms to customer experience. Key responsibilities include:

• Advanced Modeling: Develop and deploy deep learning, reinforcement learning, and graph neural networks for predictive analytics, automated trading strategies, and decision-making systems.
  
• NLP Applications: Implement state-of-the-art NLP solutions for sentiment analysis, document processing, and customer interaction enhancements using tools likespaCy, Hugging Face Transformers, andOpenAI APIs.
  
• Vector Search and Semantic Retrieval: Build systems utilizing vector databases likeWeaviate, Pinecone, andMilvusto enable real-time, context-aware data retrieval.
  
• Agentic Systems: Design autonomous and multi-agent systems for dynamic decision-making and complex task management in trading environments.
  
• MLOps Integration: Deploy and maintain AI models at scale using tools such asMLflow, Kubeflow, TensorFlow Serving,andSeldonfor seamless production workflows.
  
• Big Data Engineering: Architect high-performance data pipelines usingApache Spark, Kafka,andHadoopfor real-time and batch processing.
  
• Generative AI: Explore and integrate generative technologies, includingGPT, DALL-E, andGANs, for innovative applications in user experience and content generation.
  
• Transformers and Architectures: Utilize advanced transformer models likeBERT, T5, and ViTto solve complex problems in NLP and computer vision.
  
• Explainability and Fairness: Incorporate tools likeSHAP, LIME, andFairlearnto ensure AI systems are transparent, interpretable, and unbiased.
  
• Optimization: Use advanced hyperparameter tuning tools likeOptunaandRay Tuneto maximize model performance.
  
• Cloud and Edge AI: Implement scalable AI systems on cloud platforms (AWS, Google Cloud, Azure) and optimize for edge computing withTensorFlow LiteandNVIDIA Jetson.
  

What You’ll Need:

We are looking for a candidate with exceptional technical expertise and a track record of delivering impactful AI solutions.

Technical Skills:

• Programming Expertise: Proficiency inPython, R, C++, orJava.
  
• Deep Learning Frameworks: Expertise inTensorFlow, PyTorch, andscikit-learn.
  
• Data Tools: Experience withPandas, NumPy,andHDFSfor data analysis and storage.
  
• Vector Databases: Knowledge ofWeaviate, Pinecone, Milvus, orAnnoyfor similarity-based retrieval systems.
  
• Reinforcement Learning: Experience with tools likeOpenAI Gym, Ray RLlib,andStable Baselines.
  
• Generative AI Models: Familiarity withGANs, StyleGAN, BigGAN, andtransformer-based modelsfor various applications.
  
• MLOps and Automation: Proficiency inDocker, Kubernetes, MLflow, Kubeflow, andSeldonfor scaling AI operations.
  
• Real-Time Processing: Hands-on experience withFlink, Kafka,andevent stream processingfor dynamic data workflows.
  

Soft Skills:

• Strong problem-solving and critical-thinking skills.
  
• Ability to collaborate effectively across teams.
  
• Proven ability to deliver under tight deadlines.
  

Preferred Qualifications:

• Advanced degree in Computer Science, Machine Learning, or related fields.
  

Why Join Us?

• Work on transformative AI projects with real-world impact.
  
• Collaborate with an innovative and forward-thinking team.
  
• Competitive compensation and growth opportunities.
  
• Access to cutting-edge technologies and learning resources.
  

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