Ai Engineer

il y a 1 jour

Paris, France Deriv Temps plein

Job Information

Job Opening ID
- ZR_1981_JOB

Date Opened
- 07/01/2025

Industry
- Engineering

Job Type
- Full time

City
- Paris

Country
- France, Metropolitan

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 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 **Seld**on** for seamless production workflows.
- ** Big Data Engineering**: Architect high-performance data pipelines using **Apache Spark, Kafka**, and **Hadoop** for real-time and batch processing.
- ** 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 Tun**e** to maximize model performance.
- ** Cloud and Edge A**I: 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**:
**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**.
- ** 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.

**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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