Senior Machine Learning Operations Engineer
Senior Machine Learning Operations Engineer
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$ 92700 - 222480
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.
An exciting journey is just beginningcontinue reading to find out more!
At CVS we leverage machine learning to effectively address customer needs and enhance the shopping experience by offering a broad selection of products that cater to various preferences and lifestyles. By harnessing our comprehensive ExtraCare data and advanced predictive analytics we forecast shopper preferences market trends and seasonal demands ensuring that we stock indemand and relevant items while optimizing inventory levels to boost sales and minimize waste. Our datadriven strategy not only enhances product availability but also drives sales performance allowing CVS to successfully cater to the varied needs of our consumers while maximizing brand engagement.
Roles and Responsibilities:
Partner closely with data scientists to understand model specifications driving a seamless transition for model launch from development to production.
Create and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning models to automate the deployment process.
Oversee the endtoend lifecycle of machine learning models including development validation deployment monitoring and retraining.
Track model performance using relevant metrics and techniques such as accuracy and precision score to ensure alignment with business objectives and address issues related to model drift and data quality.
Conduct performance analysis and optimization through techniques like hyperparameter tuning and resource allocation strategies.
Create and maintain automated workflows for model training and inference to enhance efficiency.
Optimize the underlying infrastructure for machine learning operations including cloud services and container orchestration to ensure scalability and performance.
Establish version control practices for models datasets and code to ensure reproducibility and facilitate collaboration.
Conduct code reviews and contribute to the development of engineering frameworks and best practices for model deployment and maintenance.
Develop and maintain comprehensive documentation for model deployment processes architecture and workflows.
Perform root cause analysis for model failures and implement corrective actions to improve reliability.
Offer support for troubleshooting and resolving issues related to model performance and infrastructure.
Oversee and optimize cloud resources for costeffective model training and deployment.
Ensure adherence to security best practices and data privacy regulations in all machine learning operations.
Mentor and guide junior engineers providing support in their professional development and helping them enhance their technical skills.
Required Qualifications:
5 years of experience in the IT Industry with at least 2 years specifically focused on Machine Learning showcasing a strong grasp of machine learning principles alongside data engineering concepts.
Strong programming skills in languages such as Python or R along with experience in using machine learning libraries and frameworks like TensorFlow PyTorch or Scikitlearn for model development and evaluation.
Strong understanding of machine learning algorithms and techniques including supervised and unsupervised learning deep learning and reinforcement learning to effectively implement and optimize models in production environments.
Proficiency in cloud platforms such as Azure or Google Cloud Platform (GCP) with handson experience in utilizing their machine learning services and tools for model deployment and management.
Experience with orchestration tools like Kubeflow and Apache Airflow for managing machine learning workflows and data pipelines.
Experience with containerization technologies like Docker and orchestration tools such as Kubernetes enabling efficient deployment scaling and management of machine learning applications.
Knowledge of CI/CD practices and tools including Jenkins GitLab or GitHub to automate the deployment and testing of machine learning models ensuring rapid and reliable updates.
Understanding of monitoring and logging tools (e.g. Prometheus or Grafana) to track model performance and system health allowing for proactive management and troubleshooting.
Familiarity with data processing frameworks such as Pandas Dask and Spark which are essential for handling large datasets and performing distributed data processing in cloud environments.
Excellent problemsolving skills and the ability to work collaboratively in a team environment adapting to new challenges and technologies as the field of machine learning continues to evolve.
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:
$92700.00 $222480.00This 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.
Required Experience:
Senior IC
Employment Type
Full-Time
