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
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