Role Description Are you passionate about shaping the future of AI-powered products? We are looking for a Senior / Principal AI / ML Engineer to join our team and lead the standardization and scaling of AI implementation across a cutting-edge platform. This role offers the opportunity to work at the intersection of AI, data, and product engineering, driving innovation and delivering production-ready solutions. The position can be remote, offering flexibility while collaborating with a highly skilled, international team. We at Sigma Software value innovation, ownership, and engineering excellence, providing an environment where your expertise will directly influence strategic AI adoption. Why join us? We offer competitive benefits, professional growth opportunities, and the chance to work on impactful projects that push the boundaries of AI technology. - Lead the design and implementation of scalable AI-powered solutions across the product ecosystem - Automate manual workflows using AI-driven approaches, ensuring measurable efficiency gains - Architect and build semantic data models to support diverse AI use cases - Develop agent-based architectures for intelligent task automation - Build and maintain custom AI skills and capabilities tailored to product needs - Apply spec-driven development practices to ensure consistency and maintainability of AI features - Define and enforce best practices for AI integration and scalability - Collaborate closely with product and engineering leadership on AI strategy, roadmap, and execution - Evaluate emerging AI technologies and recommend adoption strategies Qualifications - 6+ years of experience in AI/ML engineering, or related fields - Strong experience with AWS - Solid experience with SQL - Experience with Anthropic ecosystem (Claude, LLM-based tools) - Proven track record in custom AI / LLM skills development - Hands-on experience with spec-driven development - Experience with agentic programming / agent-based systems - Ability to design scalable, production-ready AI solutions - WILL BE A PLUS: - Experience with DBT - Experience with Amazon Redshift - Experience building semantic layers / data modelling for AI Requirements - Strong ownership and ability to work independently - Product-oriented mindset with focus on practical AI application - Ability to translate business needs into scalable AI solutions - Structured and engineering-driven approach to AI implementation - Leadership mindset with ability to mentor and influence technical direction

• Own the product vision, strategy, and roadmap for refurbed’s AI-powered steering capabilities • Translate the company and product vision into clear product problems, business requirements, decision domains, user stories, and measurable success criteria. • Partner closely with teams to define how ML models and decisioning systems should support marketplace growth. • Identify and prioritize the most valuable use cases for intelligent steering • Work with Data Science and Engineering to define necessary data inputs and model requirements. • Lead discovery into current commercial workflows and decision logic. • Design product mechanisms for human-in-the-loop control • Use experimentation to validate recommendations. • Define and track product KPIs and model-impact metrics. • Communicate complex ML and optimization concepts clearly to stakeholders.

Role Description Provision and manage virtual machines across multiple environments. - Perform OS configuration, patching, and basic hardening across Linux and Windows systems. - Monitor VM health including CPU utilization, memory usage, disk performance, and service availability. - Assist with backup configuration and validation procedures. - Support restore testing activities for virtual systems. - Troubleshoot VM performance issues and boot related incidents. - Maintain VM inventory and infrastructure documentation. - Assist with operational monitoring and alert investigation. - Support environments that follow federal security and compliance requirements. - Collaborate with cloud engineers and infrastructure teams during system changes. Qualifications - Need CompTIA Security+ certification. Requirements - DoD 8570 / 8140 Security+ or equivalent. - 7-10 years of experience supporting enterprise infrastructure systems or virtual platforms. - Bachelor's Degree. Company Description

• Lead the design and deployment of predictive models for credit risk, collections, and operations (Senior Manager) • Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP) (Senior Manager) • Mentor and support junior and peer-level data scientists (Senior Manager) • Promote adoption of modern data science tools and platforms (Senior Manager) • Present insights to senior and cross-functional stakeholders (Senior Manager) • Drive experimentation with emerging techniques (e.g., causal inference, GenAI) (Senior Manager) • Define and execute the strategic roadmap for predictive modeling and machine learning (Director) • Lead cross-functional initiatives integrating analytics to business processes (Director) • Oversee development, deployment, and monitoring of high-impact models (Director) • Serve as a strategic advisor to senior leadership on data strategy and innovation (Director) • Represent Predictive Analytics in regulatory, audit, and governance forums (Director) • Foster partnerships across the organization (Director)