Senior Associate - Machine Learning Engineer

Job Requisition ID: 91328

Location Designation: Hybrid - 3 days per week 

 

 

 

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 solutions
• Ensuring 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 mind
• Mentor 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 Requests
• Collaborate 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 solutions
• Collaborate 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 use
• Effectively articulate information and ideas to a diverse group of people

 

 Qualifications:

• 5+ years of experience in Software Engineering position with at least 3-years hands on with implementing AI/ML solutions.
• Experience in API development, best standards and practices
• Expert in Python, including experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras
• Understanding of containerization (Docker & Linux experience)
• Experience optimizing/tuning models.
• Passionate about technology transformations, innovation, and continuous improvement
• Experience