Top Tech Jobs & Startup Jobs

Design, build, and optimize low-latency, scalable full-stack platforms. Integrate generative AI, LLMs, and autonomous agents into web applications. Collaborate with data scientists, develop prototypes, implement WebSocket/GraphQL/gRPC integrations, work with DocumentDB/DynamoDB/MongoDB/RDS, and produce technical documentation and production-ready code.

Lead large-scale data management, exploratory data analysis, and feature engineering using bureau data for credit risk modeling. Build, optimize, and document machine learning models, automate EDA/feature transformation in Python, and present data-driven insights to technical and non-technical stakeholders.

Provide digital analytics support for a major US bank, including tracking, reporting, and delivering insights to optimize digital channels and performance.

Migrate and rebuild enterprise supply chain and finance reports from MicroStrategy to Metabase. Develop and optimize dashboards, write and tune complex SQL, validate and reconcile data, and collaborate with supply chain, finance, and data engineering stakeholders to ensure accurate, performant BI reporting.

Lead actuarial risk management for P&C reserving: understand client operations, design actuarial solutions, interact with clients, extract and manipulate data (Excel, R/Python/SAS, SQL, MS-Access), validate models, perform independent research, and support UK market actuarial projects.

Lead generative AI engagements: act as client SME, architect and implement GANs/VAEs/transformer solutions, manage teams and projects, drive thought leadership, and integrate cutting-edge ML into production.

Lead design, development, and optimization of complex data systems and pipelines; oversee data engineering projects; ensure data quality; align solutions with business goals; mentor junior engineers and provide strategic guidance.

Lead data discovery and mapping for banking integrations and migrations. Use hands-on SQL to identify sources, define transformation logic, validate data accuracy, troubleshoot mapping issues, and collaborate with business, data engineers, and ETL developers. Ensure compliance with data security, privacy, and quality standards.

Lead delivery of cloud-based data engineering projects on AWS and Snowflake. Design high-level solutions, guide development and testing, optimize performance, deploy to production, manage risks, and communicate with stakeholders while mentoring team members and ensuring agile, timely delivery.

Lead end-to-end transitions of BPO processes, assess re-engineering and offshoring feasibility, manage client engagements onsite, ensure service delivery, and support business development.