Lead MLOps Engineer - Corporate Vice President

Full Time


    • Engineer
    • Artificial Intelligence
    • Engineers
    • IT
    • Project
    • Python
    • SQL
    • GIS
    • Architecture
    • Sales

    Job Description

    Location Designation: Hybrid

    When you join New York Life, you're joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You'll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

    The Center for Data Science and Artificial Intelligence (CDSAi) is the innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create, and offer innovative data-driven solutions for many parts of the enterprise. We are aided by New York Life's existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

    In fact, we are building one of the first multivariate model-based continuous risk differentiations in the industry. We are also working on models for differentiated advertising allocation by geography, channel, and segment. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products are implemented into real-time core business processes and decisions that drive the company (e.g., underwriting, pricing, agent recruiting, prospecting, advertising allocation, new product development).

    We work with data ranging from demographics, credit, and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to drive the transformation of an industry.

    The Center for Data Science and Artificial Intelligence (CDSAi) is the 60-person innovative corporate Data Science group within New York Life, led by Chief Analytics Officer Glenn Hofmann ( ). We are a rapidly growing entrepreneurial department which designs, creates, and deploys innovative data-driven solutions for many parts of the enterprise. For more opportunities in data science, please visit our website ( )

    You will set standards and create best practice patterns as well as oversee the development and deployment of technology that enable the data scientists and ML engineers to productionalize and deploy ML solutions. You will help to build and maintain an industry leading MLOps tech stack. You'll be an instrumental member of the team lead by Boris Simanovich ( )

    1. Create and enforce Git standards
    2. Support Data Scientists/ML Engineers and Data Engineers in implementing efficient, secure, and scalable CI/CD pipelines
    3. Implement architectural patterns for on-prem and cloud data/ML pipelines and solutions
    4. Build strong relationships and partner with technology (IT) stakeholders to enable systems integrations, deployments, etc.,
    5. Function as a platform expert and help contribute to solution design and implementation decisions
    6. Work independently with minimal supervision and be part of a collaborative team
    7. Work with Project Managers and Scrum Masters to create stories and provide milestones
    8. Effectively articulate information and ideas to a diverse group of people
    9. Stay up to date with the latest MLOps trends/emerging technologies and look for opportunities to improve the stack

    Required qualifications
    • Graduate-level degree in computer science, engineering, or relevant work experience
    • 7+ years of industry experience with at least 2-years in a technical lead role
    • Experience working with data teams and automating ML and other data-intensive applications development workflows
    • Hands on coding skills in Python 3, including automated testing frameworks and libraries
    • Solid understanding of CI/CD and DevOps best practices
    • Excellent command of Git (branching strategies, security, Jenkins integration, pull request process, etc.,)
    • Experience with containers (Docker), container orchestration (Kubernetes) and process orchestration/DAGs (e.g., Airflow)
    • Experience with on-prem as well as cloud compute environments (AWS) along with cloud-native tools
    • Good command of SQL and familiarity with an RDBMS
    • Understanding of real-time and batch inference
    • Have an agile mindset

    • Exposure to Geospatial (GIS) platforms
    • Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc)
    • Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc.,)
    • Architecture, design patterns, production scaling/optimization
    • Exposure to RStudio
    • Insurance industry experience

    Salary range: $115,000-$175,000

    Overtime eligible: Exempt

    Discretionary bonus eligible: Yes

    Sales bonus eligible: No

    Click here to learn more about our benefits . Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

    Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses "Be Good At Life." To learn more, please visit LinkedIn , our Newsroom and the Careers page of .

    Job Requisition ID: 87666