Machine Learning Engineer

You Are:

A self-starter who can work independently to implement and operate new technologies that help Guardian Life advance its Automation & Artificial Intelligence objectives.
Driven by a desire to deliver outstanding customer service and a rock-solid stable AI platform, you will be successful through successful operation of our automation platforms.

You Will:

Performance tune and scale out the ML models data scientists have developed. Data scientists are not software engineers, and ML engineers will be expected to refactor their Python or R codes into production-ready code and ensure the models are scalable.
Product ionize models developed by data scientists. Examples include refactoring Python code written on Jupyter Notebook to PySpark.
Develop AI and ML pipelines for continuous operation, feedback and monitoring of ML models demonstrating standard processes from the CI/CD vertical within the MLOps domain. This can include supervising for data drift, triggering model retraining and setting up rollbacks.
Optimize AI development environments (development, testing, production) for usability, reliability and performance.
Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications
Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines fostering these repositories and the ML feature or data stores are working as intended.
Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

You Have:

Be well-versed in software engineering (C++, Java, Python), infrastructure provisioning and DevOps principles, whether they are related to infrastructure as code, microservices architecture or CI/CD automation.
Ability to evaluate the performance and supervising characteristics of the ML model. These include model size (what is the size of the model), inference performance (speed at which results are returned for inference), memory consumption (how much memory will be consumed once in production), model observability and drift.
Are you familiar with ML algorithms, AI use cases and applications? Should have knowledge of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools. Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow.
Have knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
Strong collaboration skills! At Guardian, they might be part of a team of data scientists, model owners and an ML architect.
AI strategy development! They should help devise, along with data scientists and ML architects, the long-term AI growth plan, keeping in mind the scalability and availability of resources.
Possess an open willingness to learn. For example, they can learn Agile development and gain an understanding of using Scrum. This can allow for quick creation and prototyping for AI initiatives.

Location & Travel:

Hybrid Remote - One to two days a week at Guardian Location in Holmdel, NJ, New York, New Jersey or Bethlehem, Pa.
Up to 10% travel within US

#GuardianIT

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Salary Range

$89,470.00 - $146,980.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Inspire Well-Being

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.

Health Care

Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits
Dental plan
Vision plan
Health care accounts – flexible spending, health reimbursement, and health savings accounts
Critical illness insurance

Life and Disability Insurance

Company-paid Life and Disability insurance plus voluntary supplemental coverage
Accident insurance

Retirement and Financial

401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicable
Complimentary 1:1 financial guidance with a licensed Fidelity representative

Time Off and Remote Work

Flexible work arrangements (part in-person/part remote)
Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement
Personal holidays for colleagues to use in recognition of religious, cultural, or civic days
Paid parental leave and paid family and medical leave policies

Emotional Well-being and Work-Life

Emotional well-being, mental health, and work/life resources powered by Spring Health
Wellness programs, including fitness program and equipment reimbursement
Child, adult, and elder back-up care support through Bright Horizons
Adoption assistance
College planning
Tuition reimbursement
Student loan assistance
Commuter benefits in select metropolitan areas

Justice, Equity, Diversity & Inclusion (J.E.D.I.)

Employee Resource Groups that advocate for inclusion and diversity
J.E.D.I. certification and training programs
Matching gifts/volunteering

Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact

applicant_accommodation@glic.com

By Guardian Life

In 2021, we expanded our purpose as an organization to inspire well-being™. We established Guardian’s North Star going forward and began a three- to five-year process of transformation and progress. The effort gained momentum last year across our ...

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FUNDING

Private

INDUSTRY

Insurance Carriers

TEAM SIZE

5001-10000

LOCATION

Hybrid, based in New York, NY

DATE POSTED