Deriv.com | Full time
AI Engineer
Dubai, United Arab Emirates | Posted on 13/02/2025
Job Description
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.
What You’ll Do:
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 like
spaCy, Hugging Face Transformers, and
OpenAI APIs. Vector Search and Semantic Retrieval: Build systems utilizing vector databases like
Weaviate, Pinecone, and
Milvus to 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 as
MLflow, Kubeflow, TensorFlow Serving, and
Seldon for seamless production workflows.
Big Data Engineering: Architect high-performance data pipelines using
Apache Spark, Kafka,and
Hadoop for real-time and batch processing.
Generative AI: Explore and integrate generative technologies, including
GPT, DALL-E, and
GANs, for innovative applications in user experience and content generation.
Transformers and Architectures: Utilize advanced transformer models like
BERT, T5, and ViT to solve complex problems in NLP and computer vision.
Explainability and Fairness: Incorporate tools like
SHAP, LIME, and
Fairlearn to ensure AI systems are transparent, interpretable, and unbiased.
Optimization: Use advanced hyperparameter tuning tools like
Optuna and
Ray Tune to maximize model performance.
Cloud and Edge AI: Implement scalable AI systems on cloud platforms (AWS, Google Cloud, Azure) and optimize for edge computing with
TensorFlow Lite and
NVIDIA 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 in
Python, R, C++, or
Java.
Deep Learning Frameworks: Expertise in
TensorFlow, PyTorch, and
scikit-learn. Data Tools: Experience with
Pandas, NumPy, and
HDFS for data analysis and storage.
Vector Databases: Knowledge of
Weaviate, Pinecone, Milvus, or
Annoy for similarity-based retrieval systems.
Reinforcement Learning: Experience with tools like
OpenAI Gym, Ray RLlib, and
Stable Baselines. Generative AI Models: Familiarity with
GANs, StyleGAN, BigGAN, and
transformer-based models for various applications.
MLOps and Automation: Proficiency in
Docker, Kubernetes, MLflow, Kubeflow, and
Seldon for scaling AI operations.
Real-Time Processing: Hands-on experience with
Flink, Kafka, and
event stream processing for 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.
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.
