Senior Associate - Machine Learning Engineer

 

Location Designation: Hybrid - 3 days per week 

Our New York Life culture has laid the foundation for over 180 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

 

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities.  You will be part of an inclusive team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

 

You are our future, and we commit to investing in you accordingly. 

 

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.

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, AI engineers, program managers, a model validation & governance group, and a communications & development group.

You will work with Data Scientists and Platform Engineers to deliver AI and GenAI solutions to our business customers. You will influence design, implementation, and best practices for our AI solutions.

What You’ll Do:

• Responsible for design and development of production grade AI solutions
• Ensuring all AI code conforms to software engineering best practices and coding standards
• Implementation of models with debugging, scaling and monitoring in mind
• Help set up ML experiments for server-based hyperparameter tuning
• Work with Platform Engineers to develop pipelines and tools to automate model deployment
• 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

 

What You’ll Bring:
• 5+ years of experience in Software Engineering with at least 2-years hands on with implementing AI/ML solutions
• Experience in API development, best standards and practices
• Competency in Python
• Experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras
• Understanding of containerization (Docker & Linux experience)
• Passionate about technology transformations, innovation, and continuous improvement
• Experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face
• Strong knowledge of data structures, algorithms, and software engineering principles
• Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake
• Experience with cloud compute environments (AWS) along with cloud-native tools
• Experience with Agile/Scrum methodology and best practices

 

Preferred:
• Previous work experience with Generative AI
• Understanding of use and implementation of Vector Databases
• Kubernetes container orchestration expe