Software Engineer - Machine Learning

Position Overview We are building the foundation of the machine learning function at a market‑leading insurance company. As one of the first data science hires, you will play a pivotal role in shaping our ML strategy, frameworks, and operating model. This is a unique opportunity to be hands‑on, developing and maintaining production‑grade solutions while influencing the long‑term vision and scaling of our ML capabilities. Employment Type: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United States of America) Key Responsibilities Strategic Contribution Partner with the Head of ML, product and data teams to define and implement the company‑wide ML framework and best practices. Contribute to the roadmap for ML development, adoption and team growth. Hands‑On Development Ideate, design and build ML and AI prototypes to validate priority use cases and solve complex business problems to drive tangible value, collaborating with product and business teams. Develop and deploy production‑grade ML models and data pipelines. Build orchestration and integration frameworks for ML models and pipelines. Develop and maintain CI/CD pipelines for ML solutions, including test automation, to ensure successful deployment of updated models. Operational Excellence Monitor, maintain, and retrain models in production to ensure performance and compliance. Manage data updates, versioning, and integrity for deployed solutions. Implement robust monitoring and alerting systems for ML services. Team Building Help establish processes, tools, and standards for a growing ML team. Mentor future hires and contribute to a collaborative, innovative culture. Essential Duties and Responsibilities Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or area. Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing. Build non‑functional monitoring capabilities and provide escalated support for highly complex applications in production. Build in and maintain security controls and monitoring in support of company standards. Typically lead moderately complex projects and participate in larger, more complex initiatives. Solve complex technical and operational problems. Act as a resource for teammates with less experience. May oversee the work of a small team. In an Agile environment: Responsible for delivering high‑quality working software and automating manual/reusable tasks, engaging with business from the beginning of design work. Leverage continuous engineering practices to deliver business value. Actively participate in refining user stories. Responsible for designing, developing, and maintaining automated unit testing, and supporting integration and functional testing. Responsible for providing automated monitoring capabilities, warranty support, and knowledge transfer to production support. Develop code in accordance with acceptance criteria established by the Product Owner. Qualifications Required: Bachelor's degree and 6‑10 years of experience or equivalent education and software engineering training or experience. Technical Skills Strong proficiency in Python and ML frameworks. Experience with Databricks and Azure for data engineering and ML workflows. Familiarity with MLOps tools (MLflow, Lakehouse Monitoring, Azure DevOps) and CI/CD practices. Solid understanding of data science and engineering principles and model lifecycle management. Experience 5+ years total in data analytics, infrastructure, engineering, and science roles. 2+ years in applied ML engineering or data science roles. Proven track record of deploying ML models into production environments. Familiarity with monitoring, retraining, and maintaining ML systems at scale. Soft Skills Ability to work independently and collaboratively in a fast‑paced environment. Strong communication skills to influence stakeholders and explain technical concepts. Nice‑to‑Have Knowledge of insurance industry data and business processes. Additional qualifications In‑depth knowledge of information systems and ability to identify, apply, and implement best practices. Understanding of key business processes and competitive strategies related to the IT function. Ability to plan and manage projects and solve complex problems by applying best practices. Ability to provide direction and mentor less experienced teammates; ability to interpret and convey complex, difficult, or sensitive information. Location: This role is hybrid based in the posted locations and open to remote for the right candidate. Benefits At CRC Group, we’re committed to supporting every aspect of teammates’ well‑being – physical, emotional, financial, social, and professional. Eligible full‑time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax‑advantaged savings accounts; and a 401(k) plan with company match. Additionally, we offer generous paid time off, including company holidays, vacation, sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan. CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug‑Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E‑Verify #J-18808-Ljbffr