Senior AIOps Engineer

2 weeks ago

Connecticut, United States CVS Health Full time
About the Role

CVS Health is seeking a highly skilled Senior AIOps Engineer to join our Machine Learning Center of Excellence (COE) team. As a key player on this team, you will partner with data engineers, data scientists, and operations teams to design, build, deploy, and scale machine learning models and capabilities leveraging cloud-native containerization and distributed computing technologies.

Key Responsibilities
  • Optimize ML pipelines for scalability and performance in an environment with very large datasets
  • Apply an 'Engineering Excellence' mindset by building reusable engineering products, frameworks, and other automation solutions that simplify and accelerate deployment of ML solutions
  • Constantly seek, evaluate, and execute opportunities to lower cloud compute, storage, and license costs
  • Help augment and maintain the foundational ML platform by upgrading, retiring software, and performing proof of concepts to identify the right tech stack to support large-scale ML implementations
  • Act as a trusted engineering advisor and partner to data scientists and enable self-service ML capabilities to optimize and simplify collaboration
  • Mentor a team of junior ML and data engineers and help build a strong in-house engineering team
Requirements
  • 7+ years of Data & Analytics related software development experience with 5+ years of experience in designing and developing ML pipelines and/or platforms
  • 5+ years building cloud-native analytical products in GCP, Azure, or AWS
  • 3+ years of hands-on experience in developing AI solutions leveraging Python libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, XGBoost
  • 3+ years of hands-on ML-centric programming experience with either Python (preferred), Rust, Java, or R
  • 3+ years of experience leading teams in designing ML solutions, metadata frameworks, reusable components, and pipelines for data and AI/ML solutions
  • 3+ years hands-on experience working in scalable distributed computation frameworks like Spark or Dask
  • 3+ years hands-on experience working in Dev/ML Ops model, familiarity with industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Docker, Kubernetes)
Preferred Qualifications
  • 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 and toolsets such as mlflow and Feast is preferred
  • Exposure in implementing Gen AI and/or NLP-based solutions using LLMs
  • Experience in deploying unsupervised machine learning, deep neural networks, CNNs, ensemble models
  • Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with non-technical colleagues and cross-functional teams
  • Experience with online model inferences
Education

Bachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience)

Compensation

The typical pay range for this role is $124, $247,200.00. 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. This position also includes an award target in the company's equity award program.

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