Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
Design and implement highly scalable and reliable data processing pipelines and deploy model inference services
Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a huge technology and business impact
Deploy solutions into public cloud infrastructure
Required Qualifications, Capabilities, and Skills
MS in Computer Science, Statistics, Mathematics, or Machine Learning and minimum 7 years of development experience, with at least 4 years working on AI solutions.
Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails;
Must have strong programming skills in Python and deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics
Demonstrated ability to perform independent end-to-end solution design, with attention on modern architecture, scalability and security
Knowledge of data management, including data model design, as well as real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions and excellent communication skills and ability to communicate with senior technical and business partners
Preferred Qualifications, Capabilities, and Skills
Experience working in the financial domain with a large financial institution in Asset and Wealth Management, Brokerage, or Investment Banking will be an added advantage
Understanding of LLM fine-tuning and small language model inference is a plus
Ability to develop full-stack products, utilizing modern JavaScript and TypeScript frameworks, such as Next.js and Svelte
Knowledge of other high-performance languages, such as Go or Rust
Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes
