Software Engineer - Machine Learning

About the Opportunity:

This opportunity is with a market-leading insurance organization building its machine learning function. As an early data science hire, the role focuses on shaping machine learning strategy, frameworks, and operating models while developing and maintaining production-grade ML solutions.

Responsibilities:

• Partner with leadership and data teams to define and implement an organization-wide ML framework and best practices

• Contribute to the roadmap for ML development, adoption, and team growth

• Design and build ML and AI prototypes to validate use cases and address business problems

• 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

• Monitor, maintain, and retrain models in production for performance and compliance

• Manage data updates, versioning, and integrity for deployed solutions

• Implement robust monitoring and alerting systems for ML services

• Help establish processes, tools, and standards for the ML team

• Mentor future hires and contribute to team culture

• Develop customized coding, software integration, and perform analysis

• Lead and participate in the development, implementation, and support of complex solutions, including robust unit testing

• Build and maintain security controls and monitoring in support of standards

• Lead moderately complex projects and participate in larger initiatives

• Solve complex technical and operational problems and act as a resource for less experienced teammates

• May oversee a small team

• In Agile environments, deliver high-quality working software, automate tasks, participate in refining user stories, and support integration and functional testing

Requirements:

• Bachelor’s Degree with six to ten years of relevant experience or equivalent education and software engineering training

• Strong proficiency in Python and ML frameworks

• Experience with Databricks and Azure for data engineering and ML workflows

• Familiarity with MLOps tools such as MLflow, Lakehouse Monitoring, and Azure DevOps, and CI/CD practices

• Solid understanding of data science, engineering principles, and model lifecycle management

• 5+ years in data analytics, infrastructure, engineering, or science roles

• 2+ years in applied ML engineering or data science roles

• Proven experience deploying ML models in production environments

• Familiarity with monitoring, retraining, and maintaining ML systems at scale

• Ability to work independently and collaboratively in a fast-paced environment

• Strong communication skills for stakeholder influence and technical explanation

• In-depth knowledge of information systems and best practices

• Understanding of key business processes and competitive IT strategies

• Ability to plan and manage projects, solve complex problems, and provide direction to less experienced teammates

• Nice-to-have: Knowledge of insurance industry data and business processes

Compensation:

• The annual base salary for this position is $130,000 to $150,000.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.