AI Engineer

Deriv; Cyberjaya; On-site; MYR 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company at the forefront of financial technology, where you will lead the development of innovative AI-driven systems. This role offers the opportunity to work on transformative projects that enhance trading strategies and customer experiences. Collaborate with a talented team, utilizing cutting-edge technologies to create scalable solutions that drive performance and efficiency. If you are passionate about AI and eager to make a real-world impact, this is the perfect opportunity for you to thrive in a dynamic environment focused on growth and innovation.

Benefits

Competitive compensation

Growth opportunities

Access to cutting-edge technologies

Learning resources

Qualifications

• Proficiency in programming languages like Python, R, C++, or Java.
• Expertise in deep learning frameworks such as TensorFlow and PyTorch.

Responsibilities

• Design and implement advanced AI solutions for trading algorithms.
• Develop deep learning and NLP applications for customer interaction.

Skills

Python

R

C++

Java

Deep Learning

NLP

Reinforcement Learning

Problem-Solving

Collaboration

Education

Bachelor's in Computer Science

Master's in Machine Learning

Tools

TensorFlow

PyTorch

scikit-learn

spaCy

Hugging Face Transformers

MLflow

Kubeflow

Docker

Apache Spark

Kafka

Job description

Cyberjaya, Malaysia | Posted on 06/03/2025

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 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.
  

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.