Finance Digital Transformation - Senior Machine Learning Engineer

Imagine what you could do here. At Solstice Analytics, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Solstice Analytics products, the Finance group finds value for both Solstice Analytics and its shareholders. As a senior machine learning engineer in Finance, you'll play an integral and global role in building the platform, data foundations, and services used for transforming Finance's organization. Description You'll learn intra-team and business process to build infrastructure and services enabling an effective Machine Learning practice. You will help lead the charge by developing robust AIML-driven processes and extending scalable platforms to optimize financial operations in a dynamic environment. You will tackle unique challenges specific to Finance organizations - including SOX compliance, regulatory requirements, cost variance analysis, margin analysis, and scenario modeling - while driving automation and efficiency across end-to-end finance workflows. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical. Responsibilities: Extend and improve existing platform capabilities for generative AI, agentic workflows, and machine learning inference use cases Drive SLO definition, close observability gaps, and strengthen operational posture across ML stack Develop and deploy frameworks for agentic AI, including evaluation and knowledge management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment guardrails Ensure controls are robust, auditable, and scalable within Finance governance frameworks Collaborate with delivery engineering pods to identify pain points and prioritize improvements Preferred Qualifications Experience inheriting and modernizing legacy ML infrastructure without disrupting existing users LLMOps familiarity - evaluation pipelines, RAG infrastructure, prompt versioning, and production guardrails Background in corporate finance, accounting, or supply chain; understanding of SOx, P&L, and close processes Front-end experience for extending internal tooling and platform UIs a plus Minimum Qualifications Bachelors degree (CS, data science, engineering, or similar) with 7+ years experience Demonstrated experience improving and extending existing AIML platforms and services Hands-on ML platform experience: feature stores, registries, experiment tracking, and model serving Strong debugging and operational instincts Values engineering standards; modularity, testing, version control, and code review CI/CD and MLOps experience strengthening existing pipelines; familiar with GitOps Production Kubernetes and cloud platform experience Working knowledge of ML algorithms; experience shipping generative AI and agentic solutions Pay & Benefits At Solstice Analytics, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Solstice Analytics employees also have the opportunity to become an Solstice Analytics shareholder through participation in Solstice Analytics's discretionary employee stock programs. Solstice Analytics employees are eligible for discretionary restricted stock unit awards, and can purchase Solstice Analytics stock at a discount if voluntarily participating in Solstice Analytics's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Solstice Analytics, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Solstice Analytics Benefits Note: Solstice Analytics benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.