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Deriv Technology Specialist
1 week ago
We're at the forefront of financial technology innovation, and we're looking for a highly skilled Deriv Technology Specialist to join our team.
As a Deriv Technology Specialist, you'll design and implement advanced AI solutions that integrate seamlessly across our operational landscape, from trading algorithms to customer experience. Your key responsibilities will 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.
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.
- 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.