Senior AIOps Engineer

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

The Sr AIOps Engineer will partner with data engineers, data scientists, and operations teams in training, building, deploying and scaling ML models and capabilities leveraging cloud-native containerization & distributed computing technologies. (S)he will play a key role in optimizing ML pipelines for scalability and performance in an environment with very large datasets and will apply an ‘Engineering Excellence’ mindset by building reusable engineering products, frameworks and other automation solutions that simplify and accelerate deployment of ML solutions. The candidate will act as a trusted engineering advisor and collaborating partner working closely with customers and data scientists to enable self-service ML capabilities to optimize and simplify tasks.

Required Qualifications

• 5+ years of Data & Analytics related experience with experience in designing & developing ML pipelines and/or platforms.
• 3+ years of experience building cloud native analytical products in GCP, Azure or AWS.
• 1+ years of ML-centric programming experience with either Python(preferred), Rust, Java or R.

Preferred Qualifications

• Hands-on experience working in scalable distributed computation frameworks like Spark or Dask.
• Hands-on experience in developing AI solutions leveraging Python libraries such as PyTorch, Tensorflow, Scikit-Learn, Keras, and/or XGBoost.
• Familiarity with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Docker, Kubernetes).
• Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with non-technical colleagues and cross functional teams.
• Experience within an IT infrastructure domain and familiarity with telemetry/log data and concepts is highly desirable.
• Expertise with working with open-source ML platforms & toolsets such as mlflow and Feast is preferred.
• Exposure in implementing Gen AI and/or NLP based solutions using LLMs.
• Experience implementing or maintaining Feature Stores.
• Experience in deploying unsupervised machine learning, time series modeling, CNNs, ensemble models.
• Experience with online model inference.

Education

• Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.  
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 10/05/2024

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.