Sr. MLOps Engineer

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

If you are a seasoned MLOps Engineer with a passion for leading teams and driving technical innovation in AWS, Python, machine learning, React, CI/CD, and in-house API development, we invite you to join us in advancing our mission and making a significant industry impact.

We are seeking a Senior MLOps Engineer with deep expertise in machine learning operations, AWS, Python, ReactJS, CI/CD, and API development for MLOps tools. In this senior role, you will provide technical leadership and guidance to the MLOps team, overseeing the deployment, monitoring, and optimization of machine learning models and systems. You will also drive the enhancement of in-house tools for improved automation and operational efficiency, while collaborating with cross-functional teams to scale MLOps processes across the organization.

Key Responsibilities:

1. Machine Learning Operations:

• Lead and mentor MLOps engineers in deploying machine learning models into production.
• Architect, develop, and maintain scalable machine learning pipelines for deployment, monitoring, and evaluation.
• Collaborate with data scientists and machine learning engineers to refine models and optimize operational workflows.

2. AWS Infrastructure Leadership:

• Strategically manage and optimize cloud infrastructure on AWS, ensuring performance and cost-efficiency for machine learning workloads.
• Oversee the implementation of Infrastructure as Code (IaC) using tools such as AWS CloudFormation, ensuring scalability and automation.
• Leverage AWS services for advanced storage, compute, and data processing solutions.

3. Python, API, and Web Development:

• Lead the design and development of robust, secure APIs and automation tools using Python to support MLOps processes.
• Guide the team in building scalable and well-documented in-house APIs for MLOps tools.
• Drive collaboration with internal teams to align API development with evolving requirements and business goals.
• Oversee the development of web applications using React and modern technologies to enhance MLOps tooling.

4. CI/CD Implementation and Optimization:

• Lead the design, implementation, and optimization of CI/CD pipelines for machine learning models and application deployment.
• Drive automation of testing, deployment, and rollback processes, ensuring high reliability and efficiency.
• Continuously refine and enhance CI/CD workflows to support the evolving needs of the machine learning infrastructure.

• 4+ Years proven experience in a senior MLOps engineering role or equivalent.
• Strong technical leadership and mentoring skills.
• Advanced expertise in AWS services, including EC2, S3, Lambda, ECS, and others, with a focus on optimization and scalability.
• Deep proficiency in Python for machine learning operations, automation, and API development.
• Extensive hands-on experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Strong familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in modern web development technologies, particularly React.
• Advanced knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD, Travis CI).
• Excellent problem-solving, communication, and collaboration skills with an ability to influence and drive technical decisions.

Additional Information:

• Leadership opportunity within cutting-edge machine learning projects.
• Competitive salary and comprehensive benefits package.
• Collaborative and forward-thinking work environment.
• Access to continuous professional development and leadership training.

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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, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, 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 and Best Employer for Women, 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 Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property 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 efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty 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 governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life 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 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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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.