Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4359383714&f_AL=true&f_TPR=r86400&f_WT=2&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=375 Job Description: Machine Learning Engineer CRC Group · Charlotte, NC (Remote) Easy Apply Save Save Machine Learning Engineer  at CRC Group Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Scott Rozen-Levy 3rd+ Data Leader | Data Science | AI | ML | Analytics | MLOps | Data Strategy | Advanced Analytics | Predictive Modeling | Head of Data Science | Data Science Director Message About the job About the Role 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. 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, while 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. Qualifications 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 Why Join Us? Be a founding member of the ML team at a leading insurance company. Drive strategic decisions while staying hands-on with cutting-edge technology. Opportunity to shape the ML operating model and scale a high-impact team.