Machine Learning Engineer
About The Position
Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data scientists; develop, test, and deploy ML pipelines; apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives; research, experiment with, implement, train, and retrain ML algorithms and tools; engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies; analyze data and identify differences in data distribution that could impact model performance in real-world use cases using industry leading tools, technologies and best practices; design ML approach, apply appropriate techniques, and develop custom algorithms as needed to address business problems and predict outcomes of interest; apply sampling techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes; compare models using statistical performance metrics and ensure accuracy of business metrics; visualize, interpret, and report data findings to internal clients and leadership; mentor junior team members; and collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs). Telecommuting available. Multiple positions.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Data Science, Statistics, Mathematics, Analytics, or a related field
- Completion of a university-level course, research project, internship, or thesis in Java, Python, or Node.js
- Completion of a university-level course, research project, internship, or thesis in NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
- Completion of a university-level course, research project, internship, or thesis in machine learning, statistical analysis, and predictive modeling
- Completion of a university-level course, research project, internship, or thesis in machine learning algorithms
- Completion of a university-level course, research project, internship, or thesis in feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
- Completion of a university-level course, research project, internship, or thesis in quantitative analysis techniques, including clustering, regression, and pattern recognition
- Completion of a university-level course, research project, internship, or thesis in contributing to large-scale applications development, data science, or data analytics projects
- Completion of a university-level course, research project, internship, or thesis in developing data science products
Responsibilities
- Design, develop, and implement enterprise ML products and platforms for data scientists
- Develop, test, and deploy ML pipelines
- Apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives
- Research, experiment with, implement, train, and retrain ML algorithms and tools
- Engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies
- Analyze data and identify differences in data distribution that could impact model performance in real-world use cases using industry leading tools, technologies and best practices
- Design ML approach, apply appropriate techniques, and develop custom algorithms as needed to address business problems and predict outcomes of interest
- Apply sampling techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes
- Compare models using statistical performance metrics and ensure accuracy of business metrics
- Visualize, interpret, and report data findings to internal clients and leadership
- Mentor junior team members
- Collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs)
Benefits
- medical
- dental
- vision
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- fully-paid term life insurance plan
- short-term and long term disability benefits
- well-being programs
- education assistance
- free development courses
- CVS store discount
- discount programs with participating partners
- Paid Time Off (PTO)
- vacation pay
- paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
