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Lead ml engineer

4 weeks ago

Central And Western District, Hong Kong SAR China Robert Walters Full time

Lead ML Engineer - Insurance (Gen AI) (SN9 S1 I-4 FE33 AFD) Hong Kong We are looking for someone with proven experience in both AI/ML advanced analytics solutions and managing data platform. Job scopes: Lead the development of cutting-edge AI/ML-driven advanced analytics applications focusing on sales growth, business profitability, client retention, and customer satisfaction. Oversee the AI/Data platform, streamlining the integration of new machine learning models and data sources while optimizing architecture through effective engineering methodologies. Create and deploy AI/ML models to address intricate business obstacles, utilizing a wide array of algorithms and techniques, with a key emphasis on AI technologies such as RAG and multi-agent methodologies. Promote the utilization of insights derived from Generative AI solutions by engaging and collaborating with essential stakeholders throughout the organization. Manage data operations and delivery for marketing initiatives and customer value management programs, streamlining processes and automating tasks across various systems and sources. Aid in operationalizing propensity models developed for campaign executions. Qualifications and Experience: Possession of an advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field, coupled with extensive professional experience. Minimum of 8 years of relevant experience in deploying Data science & AI solutions. Proficiency in designing data pipelines and machine learning production infrastructures, particularly with Azure services. Advanced programming skills in Python, R, and SQL, and familiarity with pertinent engineering tools like Lang Chain, Lang Graph, Auto Gen, and Llamaindex, alongside a deep comprehension of agile solution development principles. Hands-on familiarity with data frameworks and cloud platforms like Azure, Databricks, and Spark, showcasing a focus on implementing and scaling Generative AI solutions. Previous involvement in the insurance sectors, with a specific concentration on Generative AI technologies and architecture utilizing Azure and Open AI services, is highly valued. Demonstrated teamwork experience, got the leadership and mentorship exposure with a team of data scientists, and collaborating efficiently with cross-functional teams. Exceptional communication abilities, including the capacity to convey complex data science concepts effectively to both technical and non-technical stakeholders, especially in the realm of RAG chatbot development.#J-18808-Ljbffr