ICE · 8 hours ago
Senior Data Intelligence Engineer
Dallas, TX
Full-time
Onsite
Senior Level
5+ years expICE is seeking a Senior Data Intelligence Engineer to build and improve AI-driven systems that automate mortgage workflows. The role involves designing scalable data and machine learning solutions, collaborating with cross-functional teams, and driving innovation to enhance decision-making and operational efficiency.
E-CommerceFashionJewelryMarketplace
Responsibilities
Develop Data Intelligence and ML solutions:
Design, develop, and deploy scalable data pipelines, ML models, and GenAI-powered solutions that automate document processing and data extraction with high accuracy and performance
Leverage GenAI building blocks - such as prompting techniques, agentic frameworks, vector databases, and Model Context Protocol (MCP) - to enrich data workflows and enable intelligent decision-making
Conduct comprehensive data analysis to identify actionable insights, inform strategic decisions, and continuously improve system performance
Drive Innovation and Collaboration:
Continuously explore and adopt emerging GenAI technologies to enhance automation capabilities
Rapidly build and test new approaches to solve complex business problems and improve operational efficiency
Support junior engineers and peers in applying GenAI concepts effectively by leveraging AI-assisted coding for rapid prototyping and feature implementation, and by incorporating GenAI building blocks directly into solution architectures to accelerate learning and delivery
Promote Data‑Product Mindset:
Align data pipeline design with end users' needs by defining clear outputs and business outcomes
Empower stakeholders to engage with data solutions as customers, fostering ownership and feedback-driven iteration
Deliver and Optimize Impactful Results:
Continuously monitor deployed solutions to ensure optimal performance, accuracy, scalability, and reliability
Identify, troubleshoot, and resolve performance issues and data anomalies proactively
Track and communicate key performance metrics clearly and regularly to stakeholders
Qualification
Required
Bachelor's degree in data science, Engineering, Computer Science, or related field (master's preferred)
5+ years of software/data-engineering experience with strong understanding of the full SDLC, CI/CD practices, and production-grade system design
Solid understanding of statistics, data analysis, and Machine Learning fundamentals
Practical experience implementing and deploying solutions using GenAI building blocks such as prompting strategies, agentic frameworks, vector databases, RAG pipelines, reasoning models, and MCP
Hands-on experience with NLP and/or CV
Extensive Python programming experience (3+ years), with strong proficiency in libraries such as pandas, scikit-learn, Hugging Face Transformers, MLFlow and Jupyter
Proficiency in SQL and experience with data querying, transformation, and analytics tools
Experience with big data platforms such as Databricks, Snowflake, or similar
Strong analytical skills with a demonstrated ability to perform complex data analysis
Development tools and CI/CD pipelines - git, Docker, Terraform, Jenkins
Excellent written and verbal communication skills, ability to document complex systems clearly and collaborate effectively across cross-functional teams
Preferred
Proven experience using AI-assisted development tools such as Cursor and GitHub Copilot is a significant advantage
Practical experience with modern GenAI frameworks and orchestration tools - such as DSPy, LangChain, ADK, LlamaIndex, AWS Bedrock AgentCore, OpenAI Agents SDK, Adept ACT-2, Perplexity - is a significant advantage
Exposure to cloud platforms and services (AWS Sagemaker, S3, Lambda, EC2, Step Functions, ECS, or equivalent)
Experience developing RESTful APIs and web services
Company
ICE
We are building the largest jewelry marketplace.
10001+ employees
H1B Sponsorship
ICE has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$49MKey Investors
Polaris Partners
2017-12-07Acquired
2016-03-15Series Unknown
2015-07-01Seed· $2M
Leadership Team
Joseph Albert
Chief Technology Officer
David Farrell
Chief Operating Officer, ICE Futures U.S.
Recent News
Business News Americas
2025-12-18
2025-10-28
Company data provided by crunchbase