Lead ML Ops Engineer

Lead ML OPs 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 extraordinary customer service and a rock-solid stable AI platform, you will be successful through successful operation of our AI platforms.

You Will:

• As a Lead MLOps Engineer, you will play a pivotal role in building and maintaining our machine learning (ML) infrastructure. You will collaborate closely with data scientists and engineers to deploy and lead ML models to production. Your responsibilities will include:
• Designing and implementing robust MLOps pipelines to streamline the ML lifecycle, from data ingestion to model deployment and monitoring.
• Developing and maintaining CI/CD pipelines for ML models, ensuring efficient and reliable deployment.
• Building and managing ML infrastructure on cloud platforms, with a focus on Amazon SageMaker.
• Optimizing model performance and resource utilization in production environments.
• Monitoring model performance and finding opportunities for improvement.
• Collaborating with data scientists and engineers to improve ML model development processes.
• Ensuring data quality and integrity throughout the ML pipeline.
• Staying up-to-date with the latest advancements in MLOps and machine learning.

You Have:

• A minimum of 7 Years of experience and 4 years of Machine Learning experience.
• Strong proficiency in Python programming language.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in cloud platforms, particularly Amazon Web Services (AWS) and Amazon SageMaker.
• In-depth knowledge of MLOps tools and technologies (e.g., Docker, Kubernetes, Jenkins, Airflow).
• Experience with version control systems (Git).
• Understanding of data engineering concepts and tools (e.g., SQL, ETL pipelines).
• Proficiency in cloud-based data storage and processing services (e.g., S3, EMR, Redshift).
• Knowledge of big data technologies is a plus.
• Have knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Attention to detail and focus on quality.
• Passion for machine learning and data science.
• A continuous learner with a desire to stay updated on the latest industry trends.

Location & Travel:

• Two days a week at a Guardian office in New York, NY, Holmdel, NJ or Bethlehem, PA
• Up to 10% travel within US

Salary Range$114,080.00 - $187,415.00

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.

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.

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

Equity & Inclusion

Opportunities to build inclusive and meaningful connections through involvement in colleague-led affinity groups:

• Employee Resource Groups:

• Colleague Connection Committees

• Community Involvement Committees

A culture that encourages colleagues to bring their authentic selves to work

• Voluntary self-ID

• Pronunciation and phonetic spelling of names

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.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. 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 [email protected].

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.