Machine Learning Engineer
Machine Learning Engineer
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$ 72100 - 173040
1 Vacancy
Job Description
At CVS Health were building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nations leading health solutions company we reach millions of Americans through our local presence digital channels and more than 300000 purposedriven colleagues caring for people where when and how they choose in a way that is uniquely more connected more convenient and more compassionate. And we do it all with heart each and every day.
Position Summary:
If youre eager to make a real impact in the health care industry through your own meaningful contributions explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
As a Machine Learning Engineer you will design develop and operationalize highly complex and largescale Machine Learning Solutions on the Google Cloud Platform. In addition to the traditional machine learning toolset you will work with large language models vector stores deep learning and other advanced tools to handle analyze and generate insights from large volumes of data.
You will be working with a mature data science organization at a Fortune 6 company. You will be responsible for operationalizing the analytical workloads and ML Pipelines using GCP AI/ML Services to support traditional ML use cases as well as NLP NLM audio or image processing. You will support the deployment of advanced algorithms and applications follow architecture and engineering best practices and deliver software that is well documented error free scalable and performance optimized.
As a Machine Learning Engineer you will:
Develop and implement machine learning models using appropriate algorithms and techniques. This includes model selection training tuning and evaluation.
Design develop and deploy scalable and highperformance data pipelines using GCP services (e.g. Dataflow Dataproc Pub/Sub BigQuery Cloud Storage)
Use software development best practices like code review continuous integration and continuous delivery (CI/CD) release management and version control.
Develop and maintain data quality checks and monitoring systems to ensure data accuracy and completeness.
Collaborate with data scientists and machine learning engineers to optimize data for model training and inference.
Build and maintain data infrastructure for AI/ML workloads including feature stores model registries and experiment tracking systems.
Automate data pipelines and infrastructure using tools like Apache Airflow or similar orchestration platforms.
Troubleshoot and resolve datarelated issues and performance bottlenecks.
Stay up to date with the latest advancements in data engineering cloud computing and AI/ML technologies.
Work to enhance existing test automation processes improving efficiency and reducing manual intervention across environments.
Partner with teams and serve as crossfunctional expert to provide benchmarked solutions to multiple complex technical projects/initiatives using multiple interlocking technologies.
Implement data quality checks and monitoring to ensure data accuracy and reliability for model training and prediction.
As leaders in healthcare our analytics and engineering teams deliver innovative solutions to business problems by collaborating with crossfunctional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex structured and unstructured data that will allow you to grow your technical skills and engineering expertise.
Required Qualifications:
1 years of experience with one or more modern languages such as Python Java etc.
1 years of experience with common ML libraries (i.e. Scikitlearn XGBoost NumPy Keras PyTorch etc. and ML algorithms (i.e. clustering decision trees boosting etc.
1 years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery Snowflake or Redshift
Preferred Qualifications:
Experience with complex systems and solving challenging analytical problems
Effective written and verbal communication skills
Experience with ML operationalization and data and model lifecycle management
Experience deploying and monitoring analytical assets in batch/realtime business processes
Experience in cloud environments (GCP preferred): bucket storage BigQuery Kubeflow DataProc VertexAI DataFusion
Understanding of DevOps principles and tools (such as GitHub Jenkins Circle CI Argo CD Artifact Registry Nexus)
Experience in developing distributed data processing pipelines using libraries like Apache Spark or Beam.
Understanding of dependency management and containerization of applications supporting analytical workloads (i.e. Dockers GKE)
Exposure to developing RESTFUL APIs against enterprise data assets and features to support real time operational ML pipelines. Experience with FastAPI or Flask is preferred.
Experience in data visualization tools and libraries
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge
Education:
Bachelors Degree or equivalent work experience in Computer Science Information Systems Data Engineering Data Analytics Machine Learning or related field required. Masters Degree preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$72100.00 $173040.00This pay range represents the base hourly rate or base annual fulltime 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 shortterm incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers patients members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits investing in the physical emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages our great benefits include:
Affordable medical plan options a 401(k) plan (including matching company contributions) and an employee stock purchase plan.
Nocost programs for all colleagues including wellness screenings tobacco cessation and weight management programs confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off flexible work schedules family leave dependent care resources colleague assistance programs tuition assistance retiree medical access and many other benefits depending on eligibility.
For more information visit anticipate the application window for this opening will close on: 05/26/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal state and local laws.
Employment Type
Full-Time
