MLOps Engineer

Company Description

We open up new possibilities for the world and inspire change for a better tomorrow. Our analytical solutions serve to connect content, data, and analytics to ensure businesses, individuals, and society become more robust, resilient, and sustainable.

Job Description

Working as an MLOps Engineer at Verisk involves:

• Being an active member of and contributing to a broad, dynamic community of Data Scientists, MLOps Engineers in areas like P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, and Geopolitical Security.
• Collaborating closely with ML Engineers and Data Scientists to develop workflows and scale ML models into production.
• Frequently witnessing the direct impacts of your work through the creation of new products, enhancement of existing ones, generating consulting revenue, or improving internal processes.
• Working with the latest technology and consistently developing new skills and abilities.

Working at Verisk’s Insurance Claims Group involves:

• Being a part of an Analytics Center of Excellence that develops AI and machine learning products for Verisk’s P&C insurance claims sector worldwide.
• Developing analytic solutions that expedite the financial recovery of millions of people following unfortunate events like house fires, motor accidents, severe weather events, workplace injuries, etc.
• Engaging with advanced AI Implementation solutions that form the core functionality of leading market products used by thousands of insurance professionals and consumers.
• Collaborating on a range of technologies and products to overhaul and replace traditional processes and systems in fields like fraud detection and deep learning.

Position Overview:

We are seeking a skilled Engineer with a strong background in machine learning operations, AWS, Python, ReactJS, CI/CD, and the ability to develop custom APIs for MLOps tools. In this role, you will be instrumental in deploying, monitoring, and optimizing machine learning models and applications while enhancing our in-house tools for improved efficiency and automation.

Key Responsibilities:

Machine Learning Operations:

• Work together with data scientists and machine learning engineers to dispatch machine learning models into production.
• Develop and manage machine learning pipelines for model deployment, assessment, and monitoring.

AWS Infrastructure Management:

• Oversee and refine cloud infrastructure on AWS for machine learning workloads.
• Employ AWS services for storage, compute, and data processing.
• Implement infrastructure as code (IAC) using tools like AWS CloudFormation.

Python, API and Web Development:

• Develop and maintain Python scripts and libraries for automation, data processing, and in-house tools.
• Design, build, and maintain custom APIs using Python for MLOps tools and automation.
• Ensure APIs are robust, secure, and well-documented.
• Cooperate with internal teams to comprehend API requirements.
• Contribute to the creation of web applications using React and modern web development technologies.

CI/CD Implementation:

• Develop and maintain CI/CD pipelines for machine learning model deployment, application development, and in-house tool deployment.
• Automate testing, deployment, and rollback procedures.
• Monitor and optimize CI/CD workflows for efficiency.

Qualifications

• A Graduate degree (M.S.) in a quantitative/STEM field.
• At least 2 years of experience as an MLOps Engineer or similar role.
• Strong expertise in AWS services, including EC2, S3, Lambda, ECS, and many more.
• Proficient in Python for machine learning operations, automation, and API development.
• Practical experience with containerization and orchestration tools (such as Docker, Kubernetes).
• Familiarity with machine learning frameworks and libraries (like TensorFlow, , scikit-learn).
• Experience with React and modern web development technologies.
• Understanding of CI/CD pipelines and tools (for instance, Jenkins, GitLab CI/CD, Travis CI).
• Strong problem-solving abilities and attention to detail.
• Excellent communication and team collaboration skills

#LI-NS1

Additional Information

In 2022, Verisk was recognized as a Great Place to Work® for the sixth consecutive year and second-time certification in the UK, Spain, and India due to our exceptional workplace culture. We’re also among the 38 firms on the UK’s Best Workplaces™ list and one of 18 on Spain’s Best Workplaces™ list.

Verisk has been minimizing uncertainty with precision and unlocking opportunities that create significant and demonstrable impact throughout its fifty years of service. Beginning with our deep roots in risk assessment, we have evolved to offer analytical insights that help to transform industries focussed on some of the world's most critical areas. Today, Verisk is a cornerstone of the insurance industry, making the world more productive, resilient, and sustainable.

Verisk works alongside our customers at the crossroads of people, data, and advanced technologies. Through our proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and long-lasting value to our customers and, through them, to the people and societies they serve. Our team of 9,000 vibrant individuals is dedicated to turning big data into big ideas. We assist others in seeing new possibilities and bring certainty to significant decisions impacting individuals and societies. We tirelessly and ethically strive for innovation to help our customers, and the world, build better tomorrows.

Everyone at Verisk, from our Chief Executive Officer to our newest employee, is guided by The Verisk Way, which values Being Remarkable, Adding Value, and Innovation.
• Being Remarkable means striving to improve each day in our service to our customers and each other.
• Adding Value involves delivering instant and sustained results that lead to positive outcomes.
• Innovation is seeking what's possible, embracing challenges, and pushing boundaries.

Verisk Businesses

— Provides underwriting and rating solutions for auto and property, general liability, and excess and surplus lines to assess and price risk quickly and accurately.

— Supports end-to-end claims handling with analytical and automation tools that streamline workflow, enhance claim management, and foster better customer experiences.

— Provides property estimation software and tools for professionals to make day-to-day workflows more efficient in every phase of building and repair.

— Offers risk modeling solutions that help individuals, businesses, and societies become more resilient to extreme events.

— Provides an integrated suite of software for full end-to-end insurance and reinsurance business management, aiding companies with efficiency, flexibility, and data governance.

— Provides data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement.

– Provides end-to-end, data-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group policies.

— Provides intelligence on sustainability, resilience, and ESG, helping individuals, businesses, and societies become stronger.

Verisk Analytics is an equal opportunity employer.

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.

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.