Machine Learning Engineer
7505 Caremark, L.L.C.
- Irving, Texas, United States
- Irving, Texas, United States
About
Location: Irving, TX. Telecommuting available. Multiple positions. Position Summary
Design, develop, and implement enterprise machine‑learning 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 behaviour 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). 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 each of the following: Java, Python, or Node.js; NLP (Scikit‑Learn, SpaCy, PyTorch, or Spark NLP); machine learning, statistical analysis, and predictive modeling; machine learning algorithms; feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; quantitative analysis techniques, including clustering, regression, and pattern recognition; contributing to large‑scale applications development, data science, or data analytics projects; and developing data science products. Pay Range
$96,034.00 per year to $144,200.00 per year. Benefits
Full‑time position with a comprehensive benefits package including medical, dental, vision coverage, paid time off, retirement savings options, wellness programs, and other resources. Eligible employees may enroll in the 401(k) retirement savings plan, an Employee Stock Purchase Plan, and an equity award program. Additionally, the company offers fully‑paid term life insurance, short‑term and long‑term disability benefits, well‑being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. Paid holidays and other time off are provided in accordance with relevant state law and Company policies. Equal Opportunity Employer
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.