Note: The job is a remote job and is open to candidates in USA. Orbien LLC is seeking an Applied AI / ML & Quantitative Solutions Engineer to develop and deploy practical quantitative, statistical, and machine learning solutions for business problems. The role combines data investigation, AI-augmented software engineering, solution architecture, and end-to-end ownership of production-ready implementations.

Responsibilities

• Translate business problems into practical statistical, analytical, and machine learning solutions
• Evaluate modeling approaches and justify model selection using mathematical and statistical reasoning
• Develop, validate, and deploy models into production environments
• Explain model assumptions, limitations, and technical trade-offs
• Independently query databases using SQL to investigate business problems
• Work with Snowflake and understand data structures, relationships, and data models
• Identify data gaps, validate assumptions, and obtain the information required to solve problems
• Use modern AI tools to accelerate software development, analysis, and problem-solving
• Apply prompt engineering, AI instructions, agent capabilities, and appropriate guardrails
• Identify when AI-generated solutions are incorrect or misaligned and redirect the approach
• Validate AI-generated code and recommendations using independent technical judgment
• Design and implement scalable, maintainable, production-ready solutions
• Integrate data, machine learning models, AI capabilities, and software engineering
• Apply sound engineering and architectural principles to real-world business problems
• Take ownership of solutions from requirements gathering through implementation
• Work effectively with loosely defined business requirements
• Ask meaningful clarifying questions and proactively engage stakeholders
• Communicate technical decisions, progress, blockers, and next steps clearly
• Independently investigate unfamiliar problems and drive them toward resolution

Skills

• 10+ years of relevant professional experience in quantitative engineering, applied machine learning, analytics, or related technical fields
• Strong foundation in mathematics, statistics, and quantitative problem-solving
• Demonstrated understanding of statistical and machine learning model selection
• Experience developing and deploying models for real-world business problems
• Strong SQL skills and experience independently querying databases
• Hands-on experience with Snowflake
• Practical Python programming experience for analytical development and modeling
• Strong understanding of data modeling, software engineering, and solution architecture
• Experience using modern AI tools in technical workflows
• Familiarity with prompt engineering, AI-assisted development, agent workflows, and AI guardrails
• Strong analytical thinking, independent problem-solving, and professional communication skills
• Background in finance, quantitative finance, or financial analysis
• Education or experience in Operations Research, applied mathematics, or statistics
• Experience solving complex business, financial, or operational problems
• Broader experience in engineering, architecture, and data modeling beyond traditional ML development

Benefits

• Remote work

Company Overview

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