Lead Machine Learning Operations 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.
- 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.
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 .
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
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