In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
Completing research and evaluation tasks in a web-based environment, such as verifying and comparing data and determining the relevance and accuracy of information.
Full Professional Proficiency in English language...
In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
Completing research and evaluation tasks in a web-based environment, such as verifying and comparing data and determining the relevance and accuracy of information.
Full Professional Proficiency in English language...
Support the development, prototyping, and validation of predictive analytics and machine learning models under the guidance of senior data scientists.
Conduct statistical analysis and exploratory data analysis on large structured and unstructured datasets to validate hypotheses, identify patterns, and uncover business opportunities.
Develop optimized SQL queries and Python programs to extract, clean, feature-engineer, and prepare data pipelines for advanced modeling and analysis....
Develop and maintain interactive dashboards and reports to track product compliance, import/export performance, and other trade-related metrics.
Perform data extraction, cleaning, and transformation from multiple internal systems (e.g., ERP, warehouse management, and shipment tracking platforms).
Build and optimize data models to ensure accuracy, scalability, and performance....
Design, develop, and operate scalable data architectures and pipelines for data ingestion, transformation, and delivery across multiple source systems.
Build robust data models and reusable data capabilities to support applications, analytics, and data science use cases.
Develop and optimise data solutions using modern data warehouses, data lakes, and lakehouse architectures....
Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;
Work closely with data scientists to solicit data requirements to support modeling works
Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);...
Design and implement production-grade LLM pipelines powering Binance AI Products and next-generation agentic trading features — including multi-step reasoning agents, tool-selection frameworks, and autonomous workflow execution across spot, perpetual, and on-chain markets
Continuously improve agent capabilities in understanding, reasoning, tool selection, and action execution — optimizing simultaneously for intelligence, latency, and reliability under high-frequency trading constraints
Build and maintain evaluation frameworks for reasoning model outputs in crypto contexts — covering market analysis accuracy, agent decision quality, hallucination detection, and adversarial robustness against prompt injection in financial workflows...
Process all service requests assigned in an accurate and timely manner, within the agreed service levels and targets as defined in the Service Level Agreement (SLA).
Perform relevant data updates, reviews and validation of employee data against supporting documents to ensure high quality of data maintained in all HR systems.
Comply with data integrity, security and privacy policies and applicable regulations....
Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
Handle content labeling for specific queues based on cross-functional business requirements, analyze labeled content to identify trends and provide insights to project teams and independently manage quality evaluation initiatives, delivering actionable analytical insights.
Train models using large datasets of labeled content to improve decision-making accuracy. Enhance model capabilities through iterative training and reinforcement learning, assist in data preparation, cleaning, and structuring for training purposes. Improve model accuracy by testing and fine-tuning, highlight the algorithm team with supporting examples for any potential gaps in LLM decision making draft, revise, and quality-check content to explore and enhance the synergy between human input and data in LLM training....