ML Lead Engineer

As Lead Machine Learning Engineer you will spearhead the design, development, and deployment of advanced ML models and systems. You will work closely with the engineering team and product team to build solutions focussed on financial markets.

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