Top Tech Jobs & Startup Jobs

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Lead global go-to-market strategy for Elsevier's radiology and pathology clinical decision support portfolio. Set GTM direction, drive renewals and revenue protection, design pricing and packaging, enable sales and account teams, build strategic technology partnerships, and represent commercial priorities cross-functionally to grow recurring revenue, accelerate deal velocity, and expand customer adoption worldwide.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.

The Software Engineering Lead will manage a team, drive technical strategy for CK AI Service, and enhance delivery efficiency while mentoring engineers.

Design, build, and maintain scalable batch and ELT/ETL data pipelines and services. Develop and operate Spark and Airflow workflows, apply software engineering practices, contribute to AWS-based systems, monitor and automate production, collaborate with product and data science teams, and mentor other engineers.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Lead MLOps efforts to productionize NLP/LLM/GenAI models for life-sciences products. Build CI/CD and automated ML pipelines (SageMaker, MLflow, Azure ML), manage model/artifact registries, integrate search/vector/graph systems, evaluate LLM and IR quality, optimize infrastructure, and collaborate with data scientists, engineers and product teams.

Lead and run the accessibility program for Clinical Solutions: assess compliance, own VPATs/ACRs, build remediation roadmaps, embed accessibility into product and content workflows, coordinate accessibility champions, triage issues, and report program metrics to leadership.

Lead solution sales for scientific databases across Taiwan and SEA: develop account plans, qualify leads, close renewals and upsell, collaborate with CSM and SEs, represent company at events, and drive revenue growth through consultative selling and strategic account management.