Senior Software Engineering - Machine Learning

We are hiring a Senior Software Engineer with deep expertise in AI/ML engineering and data-intensive systems to join our Catastrophic and Risk Solutions team. You will be a key technical contributor on a cross-functional Agile team building cloud-native SaaS platforms that sit at the intersection of cutting-edge science and production software. This role goes beyond traditional full-stack development — you will design and ship AI-powered features, build data pipelines, and architect scalable ML-serving infrastructure on AWS. This role is office-based in our Boston location, which has a flexible hybrid work model.For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.Verisk BusinessesUnderwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precisionClaims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiencesProperty Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficientSpecialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governanceCatastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagementLife Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become strongerVerisk Analytics is an equal opportunity employer.Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.Verisk Employee Privacy NoticeRequiredB.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS productsStrong Python skills for data engineering, ML pipelines, and API developmentHands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoostExperience building and deploying production ML systems — model training, evaluation, versioning, and servingProficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatchExperience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalentSolid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar)Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system designFamiliarity with REST API design, microservices, and containerization (Docker, Kubernetes)Experience with Agile development methodologiesNice to HaveExperience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systemsFamiliarity with MLflow, Weights & Biases, or other ML lifecycle management toolsAWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent)Experience with geospatial data, catastrophe modeling, or climate/weather datasetsFull-stack experience with Angular or React and .NET CoreBackground in the insurance, reinsurance, or financial services industries#LI-LM03#LI-HybridAI & Data EngineeringDesign, build, and deploy machine learning models and AI-powered features into production SaaS productsMaintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasetsDevelop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patternsApply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionalityOwn data quality, observability, and monitoring for AI/ML workloads in productionSoftware Engineering & ArchitectureLead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWSDrive best practices in design, code quality, and system design across the teamContribute to all stages of the SDLC: requirements review, design, development, testing, and deploymentConduct code reviews and mentor team members on engineering standardsProactively identify technical risks and communicate them early to course-correctParticipate in roadmap planning, scoping, and technology feasibility assessmentsContribute to a culture where solving customer problems is always the highest priorityFull timePosting Date: 2026-05-05