Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product.
Compensation
Base salary is $130,000 to $170,000 annually, plus equity. Visa sponsorship is available for eligible candidates.
Responsibilities
Develop and operate recommendation, ranking, and retrieval systems.
Build LLM-powered matching features that improve candidate and role alignment.
Take features from problem definition through production, shipping at a rapid cadence.
Architect and maintain the data pipelines and services that support production models.
Partner with the founding team to translate product goals into working systems.
Lead the data and business insights team along with the AI strategy for Mexico’s Supply Chain organization, owning a portfolio of BI and data products that power decisions across 10 functional areas.
Responsibilities
Drive team growth through mentoring, coaching, career development, BIE tech assessments, and lateral moves into roles of higher technical complexity
Own the AI-ready data foundation that powers MX Supply Chain’s GenAI/ML initiatives, including the data lakehouse platform and Model Context Protocol (MCP) servers that expose trusted, governed datasets to agentic and self-service AI workflows
Delivery of robust, scalable data solutions supporting MX Supply Chain’s data infrastructure across all functional areas, mile types, and geos
Leadership in data governance, single-source-of-truth definitions, quality standards, metric accountability, and SLA enforcement across the MX Supply Chain data ecosystem
Collaborate with central teams to deploy AI solutions and align strategies and resources, negotiating coexistence and shared metric definitions while preserving local execution speed
Requirements
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Phụ trách thiết kế kiến trúc nền tảng dữ liệu, thiết kế, xây dựng và kiểm thử các luồng dữ liệu, nghiên cứu và đề xuất các thông lệ tốt nhất trong chuyển đổi, lưu trữ và xử lý dữ liệu.
Responsibilities
Phụ trách thiết kế kiến trúc nền tảng dữ liệu
Thiết kế, xây dựng và kiểm thử các luồng dữ liệu
Nghiên cứu, đề xuất các thông lệ tốt nhất trong chuyển đổi, lưu trữ và xử lý dữ liệu
Quản lý vận hành nền tảng dữ liệu và đảm bảo tuân thủ tiêu chuẩn, quy định về quản trị dữ liệu, an toàn bảo mật dữ liệu
Giám sát, khắc phục sự cố và tối ưu hóa hiệu suất và tính khả dụng của dữ liệu
Requirements
Tốt nghiệp Đại học trở lên (Khoa học dữ liệu, Khoa học máy tính, kỹ thuật dữ liệu, Toán, Toán tài chính, Toán kinh tế, Toán tin ứng dụng, Tài chính định lượng hoặc các chuyên ngành liên quan)
Trình độ thạc sĩ trở lên (Ưu tiên)
Nice to have: AI
Nice to have: AI Engineer
Nice to have: Quản lý trong lĩnh vực tương đương tại các tổ chức tài chính, ngân hàng
Senior Lead Software Engineer focused on Data and Machine Learning Operations within the Consumer and Community Banking team.
Compensation
We offer a competitive total rewards package including base salary determined on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
Responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS)
Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
Migrate legacy an big data applications at Cloud native applications with zero downtime
Lead engineering and operational delivery of enterprise data integration solutions that move Capital Markets data into Snowflake.
Responsibilities
Lead day-to-day engineering and production support for Qlik Replicate and Snowflake data services supporting clients in the United States and Europe.
Design, build and support scalable data pipelines using full-load, change-data-capture and ELT patterns to ingest, transform and deliver trusted data from SQL Server-based Capital Markets applications into Snowflake.
Develop and optimize Snowflake solutions, including data loading, SQL transformations, warehouse performance, security controls and downstream data consumption patterns.
Own technical delivery for new-client onboarding, including environment setup, replication configuration, data validation, testing, implementation and transition to support.
Investigate and resolve production incidents, coordinate recovery, and apply data engineering practices for monitoring, data quality, reliability, security and production readiness.
Requirements
Nice to have: Snowflake certification
Nice to have: experience integrating Qlik Replicate with Snowflake
Responsible for applying data mining techniques, completing statistical analysis, cleaning data, building predictive models, and visualizing data to solve problems and innovate new ways of working for the global business.
Responsibilities
Translate data & analytics into business insights by working with global leaders and regional functional teams
Identify, acquire, and preprocess diverse data sources; validate data integrity and quality; and design scalable, automated data collection and enrichment processes to support robust analytical and machine learning systems.
Build and train models using machine learning, Time Series and Forecasting techniques
Design and build workflows with advanced algorithms and models such as ML, Time Series, ML Ops etc. to conform to business needs
Continuously evaluate and enhance existing systems by redesigning workflows and embedding AI and machine learning models to improve performance, scalability, and business impact
Requirements
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
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