
Advanced Machine Learning Systems Lead
7 days ago
We are seeking a highly skilled Machine Learning Engineer to lead the design, development, and deployment of advanced ML models and systems.
You will collaborate with cross-functional teams to build solutions focused on financial markets, driving innovation by researching and applying the latest ML techniques and technologies.
Key Responsibilities:- Collaborate with teams to integrate ML solutions into products.
- Drive innovation by researching and applying the latest ML techniques and technologies.
- Lead end-to-end ML workflow development, focusing on LLM-based architectures and applications.
- Fine-tune and optimize open-source and proprietary LLMs for real-world use cases.
- Apply techniques like retrieval-augmented generation, prompt engineering, and model compression to improve performance and efficiency.
- Work with product and engineering teams to integrate LLMs into customer-facing applications.
- Guide data collection, training pipeline setup, and deployment infrastructure.
- Stay current with advances in the LLM and generative AI space and assess their relevance to our work.
- Strong expertise in Python, ML frameworks (TensorFlow, PyTorch), and cloud platforms (AWS/GCP/Azure).
- Strong ML/NLP background with a proven track record in developing and shipping LLM-powered products.
- Deep familiarity with tools like Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks.
- Solid understanding of model evaluation, performance tuning, and responsible AI principles.
- Comfortable working in fast-paced, cross-functional environments.
- Knowledge and exposure to financial markets will be a huge plus.
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