Top Tech Jobs & Startup Jobs

Senior MLOps engineer to productionize NLP/GenAI models and RAG systems: build and automate ML pipelines, CI/CD, model registries, search/vector/graph-based retrieval, evaluation metrics and cost-optimized scalable infrastructure, collaborating with data scientists, product and operations teams.

Support teams in preparing and maintaining AI-ready data by assessing data readiness, improving data quality and metadata, documenting lineage and ownership, and advising on governance and retrieval suitability for AI systems. Collaborate with data engineering, AI, and governance teams to create checklists, guidance, and remediation recommendations without owning pipelines or technical implementations.

Serve as a strategic, consultative Customer Success Manager for large law firm accounts, driving adoption of LexisNexis drafting, research, analytics, and AI workflows. Build trusted advisor relationships, create success plans, lead change management, use data to monitor health and identify growth or churn risks, and partner cross-functionally to improve products and retention.

Own strategy, positioning, growth, and performance for a portfolio of B2B events. Lead cross-functional teams, manage budgets and stakeholders, analyze market trends and KPIs, and deliver long-term product outcomes.

Senior consulting data engineer responsible for leading complex data engineering projects, coding robust solutions, designing complex data models, troubleshooting and optimizing data operations, mentoring engineers, interfacing with customers and cross-functional teams, and ensuring quality through testing, code reviews, and performance tuning to deliver on-time, on-budget solutions.

Support product discovery, specification, and delivery for digital healthcare products in Japan. Collect and prioritize ideas, create functional specs and design briefs, translate concepts into prioritized backlogs, collaborate with engineering, content, UX, and QA, monitor sprints/releases, remove blockers, and align local and global teams.

Plan, develop, and execute multi-channel marketing campaigns to drive ticket sales for events; support sales with collateral and reports; manage partners, agencies, media, and exhibitors; measure campaign performance and manage budgets; design onsite customer experiences and promotions; and maintain consistent brand positioning across touchpoints.

Conduct bilingual (Korean/English) web research to validate and maintain patent ownership records by analyzing corporate structures, M&A, spin-offs, name changes, and patent transactions; reconcile multiple sources, process workloads to quality standards, identify improvements, and communicate findings.

Lead a team of data scientists to design, build, and maintain scalable ML and NLP/LLM-based solutions. Drive experiments on large datasets (including RAG/LLM work), produce actionable insights, collaborate cross-functionally, mentor staff, and communicate results to stakeholders while ensuring model performance and reliability.

Lead commercial strategy and P&L for a portfolio of exhibitions in Thailand. Drive growth via new launches, partnerships, and portfolio expansion. Manage cross-functional teams (Sales, Marketing, Operations, Finance), build industry relationships, and develop direct reports while ensuring budget control, forecasting, and strong exhibitor/visitor value propositions.