Artificial Intelligence Engineer

Profectus Fintech
London
3 months ago
Applications closed

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Director of Artificial Intelligence - Manufacturing & Industrial

AI Engineer / Data Scientist

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Principal Data Scientist - Remote

Principal Data Scientist (Remote)

Senior Data Scientist

Our client is at the forefront of financial technology, driving innovation in CFD trading through AI. They focus on automating and optimising every aspect of operations to achieve exceptional performance, scalability, and groundbreaking advancements.


They are seeking a highly skilled AI Engineer to lead the development of cutting-edge AI-driven systems that enhance their operations across various domains.


About the Role;

As an AI Engineer with our client, you will design and implement advanced AI solutions to revolutionize trading algorithms, customer interactions, and operational efficiency.


Key Responsibilities:

  • Advanced Modeling:Develop deep learning, reinforcement learning, and graph neural networks for predictive analytics, automated trading, and decision-making systems.
  • NLP Applications:Create state-of-the-art NLP solutions for sentiment analysis, document processing, and customer interaction improvements using tools like spaCy, Hugging Face Transformers, and OpenAI APIs.
  • Vector Search and Semantic Retrieval:Build systems using vector databases such as Weaviate, Pinecone, and Milvus for real-time, context-aware data retrieval.
  • Agentic Systems:Design autonomous multi-agent systems for dynamic decision-making and complex task management in trading environments.
  • MLOps Integration:Deploy and maintain scalable AI models using tools like MLflow, Kubeflow, TensorFlow Serving, and Seldon.
  • Big Data Engineering:Develop high-performance data pipelines with tools like Apache Spark, Kafka, and Hadoop.
  • Generative AI:Leverage GPT, DALL-E, and GANs to enhance user experiences and innovate content generation.
  • Transformers and Architectures:Utilize advanced transformer models like BERT, T5, and ViT to solve challenges in NLP and computer vision.
  • Explainability and Fairness:Implement tools like SHAP, LIME, and Fairlearn to ensure AI systems remain interpretable and unbiased.
  • Optimization:Maximize model performance through hyperparameter tuning with tools like Optuna and Ray Tune.
  • Cloud and Edge AI:Deploy scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure) and optimize for edge computing with TensorFlow Lite and NVIDIA Jetson.


What You’ll Need:

Technical Skills:

  • Expertise in programming languages such as Python, R, C++, or Java.
  • Proficiency in deep learning frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Experience with data tools like Pandas, NumPy, and HDFS.
  • Knowledge of vector databases like Weaviate, Pinecone, or Milvus.
  • Familiarity with reinforcement learning tools like OpenAI Gym and Stable Baselines.
  • Competency in generative AI models (GANs, transformers) for diverse applications.
  • MLOps tools such as Docker, Kubernetes, and MLflow for scalable operations.
  • Hands-on experience with real-time data processing tools like Flink and Kafka.


Soft Skills:

  • Exceptional problem-solving and critical-thinking capabilities.
  • Ability to collaborate across diverse teams.
  • Proven ability to meet deadlines in a fast-paced environment.


Preferred Qualifications:

  • An advanced degree in Computer Science, Machine Learning, or related fields.


Why Work with Our Client?

  • Join a company committed to delivering transformative AI projects with real-world impact.
  • Be part of a forward-thinking, innovative team.
  • Enjoy competitive compensation and opportunities for professional growth.
  • Access state-of-the-art technologies and ongoing learning resources.

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