AI Engineer

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One of the world’s largest online brokers offering CFDs and other derivatives on forex, indices, cryptocurrencies, commodities, and synthetics to millions of registered users across the globe, are working with GRS to recruit an AI Engineer for their Nicosia operation. We are looking for a highly skilled AI Engineer to lead the development of sophisticated AI-driven systems that empower our client’s business. If you feel you have the necessary skills and industry experience, then we look forward to receiving your CV for this rewarding Nicosia AI Engineer opportunity.

MAIN DUTIES AND RESPONSIBILITIES

• Design and implement advanced AI solutions, integrating them across all operational facets, from trading algorithms to customer experience.
• Develop and deploy deep learning, reinforcement learning, and graph neural networks for predictive analytics, automated trading strategies, and decision-making systems.
• 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.
• Build systems utilizing vector databases like Weaviate, Pinecone, and Milvus for real-time, context-aware data retrieval.
• Design autonomous and multi-agent systems for dynamic decision-making and complex task management in trading environments.
• Deploy and maintain AI models at scale using tools such as MLflow, Kubeflow, TensorFlow Serving, and Seldon for seamless production workflows.
• Architect high-performance data pipelines using Apache Spark, Kafka, and Hadoop for real-time and batch processing.
• Explore and integrate generative technologies, including GPT, DALL-E, and GANs, for innovative applications in user experience and content generation.
• Utilize advanced transformer models like BERT, T5, and ViT to solve complex problems in NLP and computer vision.
• Incorporate tools like SHAP, LIME, and Fairlearn to ensure AI systems are transparent, interpretable, and unbiased.
• Use advanced hyperparameter tuning tools like Optuna and Ray Tune to maximize model performance.
• Implement scalable AI systems on cloud platforms (AWS, Google Cloud, Azure) and optimize for edge computing with TensorFlow Lite and NVIDIA Jetson.

CANDIDATE PROFILE

• Proficiency in Python, R, C++, or Java.
• Advanced degree in Computer Science, Machine Learning, or related fields.
• Expertise in TensorFlow, PyTorch, and scikit-learn.
• Experience with Pandas, NumPy, and HDFS for data analysis and storage.
• Knowledge of Weaviate, Pinecone, Milvus, or Annoy for similarity-based retrieval systems.
• Experience with tools like OpenAI Gym, Ray RLlib, and Stable Baselines.
• Familiarity with GANs, StyleGAN, BigGAN, and transformer-based models for various applications.
• Proficiency in Docker, Kubernetes, MLflow, Kubeflow, and Seldon for scaling AI operations.
• Hands-on experience with Flink, Kafka, and event stream processing for dynamic data workflows.
• Strong problem-solving and critical-thinking skills.
• Ability to collaborate effectively across teams.
• Proven ability to deliver under tight deadlines.

Due to the high volume of applications, we receive at GRS Recruitment, only shortlisted candidates will be responded to.