ML Lead Engineer
3 weeks ago
Key Responsibilities
- Collaborate with cross-functional teams to integrate ML solutions into products
- Drive innovation by researching and applying the latest ML techniques and technologies
- Lead the development of end-to-end ML workflows, with a focus 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 (RAG), 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
Requirements
- Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, etc.), 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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