Senior AI Engineer
1 week ago
Senior AI Engineer
⚡️ Fintech / Investments / SAAS
📍 London (remote in EMEA)
🕐 Part time - 1-2 days per week over 4 months (during core UK work hours)
🎓 Minimum 6 years of relevant experience required
Candidates must be based in the EMEA region, be fluent in English with excellent communication skill and have their own device to perform the required work.
Our client, an AI-driven SAAS company in the fintech space, is seeking a Senior AI Engineer to assist in a key project on a part time basis over the next 5 months.
The following proven track record will aid you in achieving these deliverables over the term of engagement:
- Tool Development: Build a robust tool that integrates APIs from multiple providers
- Prompt Engineering: Design and test high-quality prompts to generate reports, ensuring they include detailed analyses of predetermined metrics.
- Data Integration: Process and combine structured and unstructured data sources
- Model Customization: Customize or fine-tune LLMs
- Output Optimization: Ensure generated reports are accurate, insightful, and adhere to high-quality standards for clarity and relevance.
- Scalability: Ensure the tool and models can handle increased data loads and user demands in the future.
- Documentation: Provide clear documentation of the system’s architecture, APIs used, prompt workflows, and data pipelines.
- Given the project requirements, you should have hands on commercial experience in:
- LLMs (Large Language Models): Fine-tuning or prompt engineering with GPT-based models for natural language generation and analysis.
- NLP: For text analysis and summarization, including techniques like sentiment analysis, named entity recognition (NER), and keyphrase extraction.
- Supervised Learning Models (as needed): To build complementary analytical insights, like regression or classification tasks based on structured data.
- Generative AI: Crafting high-quality prompts and leveraging GenAI for creating reports tailored to specific audiences.
- Potential exploration of unsupervised models (e.g., clustering or dimensionality reduction) if pattern recognition in unstructured data is required.
We are looking for a Senior AI Engineer with:
- Min 6 years hands on experience in an AI Engineering focus role (similar to the above)
- LLMs, NLP, Gen AI experience is required
- Programming & Scripting: Python (essential for integrating APIs and developing ML solutions)
- Machine Learning Libraries: TensorFlow or PyTorch (for model development and fine-tuning), Scikit-learn (for baseline supervised/unsupervised models).
- Data Manipulation & Visualization: Numpy, Pandas (data preprocessing and analysis), Matplotlib or Seaborn (visualizations for insights).
- Prompt Engineering & NLP Integration: OpenAI APIs or similar (for working with LLMs like GPT or Claude).
- Workflow & Collaboration: Git (version control), MLflow (experiment tracking), and ideally Airflow or Kubeflow (for orchestration).
- Optional but beneficial: Experience with cloud platforms like AWS, Azure, or GCP for deploying and scaling solutions.
Apply Now to be considered and we will endeavour to reach out to discuss the role and client in further detail should you be a suitable fit.
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