What are the responsibilities and job description for the Corporate Vice President - ML Engineer position at New York Life?
Location Designation : [[cust_rolelocationdesignation]]When you join New York Life, you are 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 will 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.Join Strategic Capabilities and collaborate with a winning team developing and executing game-changing business strategies, informed by cutting-edge data and competitive insights. Fuel business growth through smart acquisitions, innovative partnerships, and impactful technology integration. Leverage AI and strategic data management to bring ideas to life, all while ensuring effective governance and project management.Role Overview : New York Life’s AI and Data team delivers innovative data, insights and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.You will work with Data Scientists and MLOps Engineers to apply software engineering best practices to the Model Development Lifecycle (MDLC). You will help set ML engineering standards / practices. You will lead Machine Learning solutions for AI&D projects.What You’ll Do : Responsible for design and development of production grade Machine Learning solutionsEnsuring all ML code conforms to software engineering best practices and coding standards.Help set ML engineering standards (development stack, sample starter projects, etc.)Implementation of models with debugging, scaling and monitoring in mindMentor engineers and data scientists in applying software engineering to ML problems.Help set up ML experiments for server-based hyperparameter tuning.Work with MLOps Engineers to develop pipelines and tools to automate model deployment.Mentor ML Engineers and Data Scientists in proper development practices via Pull RequestsCollaborate with the team on architecture and implementation.Expertise in developing solution architectures that integrate ML models into real-world systems.Hands-on prototyping of new technology and AI solutionsCollaborate with product managers, data scientists and other engineers.Review code to ensure solutions are properly designed and implemented.Stay up to date with the latest AI trends / emerging technologies and look for opportunities to improve the stack.Current understanding of LLMs and their useEffectively articulate information and ideas to a diverse group of peopleWhat You’ll Bring : 7 years of experience in Lead Software Engineering position with at least 3-years hands on with implementing AI / ML solutions.Experience in API development, best standards and practicesExpert in Python, including experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or KerasUnderstanding of containerization (Docker & Linux experience)Experience optimizing / tuning models.Passionate about technology transformations, innovation, and continuous improvementExperience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging FaceStrong knowledge of data structures, algorithms, and software engineering principlesExperience with SQL and big data platforms such as Postgres, Redshift and SnowflakeExperience with cloud compute environments (AWS) along with cloud-native toolsExperience with Agile / Scrum methodology and best practicesGraduate-level degree in computer science, engineering, or relevant work experiencePreferred : Previous work experience with Generative AIUnderstanding of use and implementation of Vector DatabasesKubernetes container orchestration experienceInsurance industry experience#LI-KV1Pay TransparencySalary Range : [[cust_salaryRangePosting]]Overtime eligible : [[customString6]]Discretionary bonus eligible : [[cust_merit]]Sales bonus eligible : [[stockPackage]]Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.Our BenefitsWe provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit ourNYL Benefits Site () .Our Diversity PromiseWe believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture.Click here () to learn more about how we have been recognized for our leadership.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. To learn more about career opportunities at New York Life, please visit theCareers () page of www.NewYorkLife.com .Job Requisition ID : [[id]]
