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Generative AI Engineer
Qube Research & Technologies
posted 2mon ago
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Flexible timing
Key skills for the job
Job Description
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
- Design, develop, and deploy state-of-the-art Generative AI models and agentic frameworks, delivering impactful solutions tailored to real-world challenges.
- Collaborate with stakeholders to deeply understand problem statements and craft scalable, production-ready solutions within given constraints, balancing both development and architecture.
- Utilize Advanced RAG techniques, incorporating late chunking, RHLF (Reinforcement Learning from Human Feedback), BFS (Breadth-First Search) and DFS (Depth-First Search) methods to optimize information retrieval and enhance generative model outputs
- Optimize and fine-tune Large Language Models (LLMs) like GPT, BERT, etc., for use cases in natural language understanding, data processing, and predictive modelling.
- Collaborate with cross-functional teams, including quants, researchers, and engineers, to harness AI/ML capabilities that drive our competitive edge in financial markets.
- Stay ahead of the curve by experimenting with the latest AI/LLM technologies to continuously improve models and unlock new possibilities.
- Oversee the processing of large, complex datasets for model training, ensuring data efficiency and integrity.
Your present skillset
- Advance proficiency in Python, with extensive experience in building, training, and deploying AI/ML models.
- Expertise in Generative AI and Large Language Models (LLMs),
- Experience with AI frameworks and Agentic Frameworks such as AutoGen, OpenAI Agents, Bedrock, TensorFlow, PyTorch, or Hugging Face.
- Strong understanding of Natural Language Processing (NLP) techniques, and how to apply them effectively using LLMs.
- Deep knowledge of machine learning infrastructure, including model deployment, scaling, and real-time monitoring.
- Strong problem-solving skills, with the ability to optimize models for specific tasks and drive performance improvements.
- Excellent communication skills for effective collaboration with cross-functional teams.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Qube Research & Technologies Benefits
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