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Senior AI Engineering Lead
3 weeks ago
Job Title:
Main Responsibilities of AI Engineering LeadAs a seasoned Machine Learning Engineer, you will spearhead the conception, development, and implementation of sophisticated ML models and systems. You will collaborate closely with cross-functional teams to build solutions focused on financial markets.
- Integrate ML solutions into products by collaborating with engineering and product teams.
- Pursue innovation by researching and applying the latest ML techniques and technologies.
- Lead the development of end-to-end ML workflows, 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 (RAG), prompt engineering, and model compression to enhance 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.
Why This Role?
This is an exceptional opportunity to drive the development of cutting-edge ML solutions and shape the future of financial markets.