Location Designation : Hybrid - 3 days per week
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
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
What 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 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 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
- Graduate-level degree in computer science, engineering, or relevant work experience
Preferred :
- Previous work experience with Generative AI
- Understanding of use and implementation of Vector Databases
- Kubernetes container orchestration experience
- Insurance industry experience
Pay Transparency
Salary Range : $122,500-$210,000
Overtime eligible : Exempt
Discretionary bonus eligible : Yes
Sales bonus eligible : No
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 Benefits
We 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.
Our Diversity Promise
We 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.
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 the Careers page of www.NewYorkLife.com.
Job Requisition ID : 90693
J-18808-Ljbffr
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