Top Tech Jobs & Startup Jobs

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.

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.

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.

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

The Quality Engineer II role involves automating tests, developing frameworks, API testing, integrating with CI/CD pipelines, and performing accessibility and performance testing.

Design, build, deploy, and support secure, scalable production software and AWS infrastructure. Implement CI/CD with GitHub Actions, monitoring and alerting, and maintain engineering standards. Work in a cross-functional Agile team, mentor colleagues, and improve processes to ensure stable, repeatable releases.

Perform high-volume prospecting via phone, email, and LinkedIn to generate qualified leads for Solutions Account Managers. Research targets, qualify prospects, coordinate with marketing and sales, schedule demos, and document pre-sales information. Identify decision-makers, build pipeline, and support conversion-ready opportunities.

Collaborate with teams to design, develop, and deploy applications for scientific research. Enhance delivery processes and implement Agile practices.

Responsible for designing and developing scalable web applications using React and Node.js. Involves collaboration in Agile, mentoring engineers, and ensuring code quality.

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.