Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
Design and implement machine learning models to improve a wide range of applications including search, forecasting, text mining and more.
Develop and implement agentic-based systems for a wide range of applications including anomaly detection, root-case analysis and more.
Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.

Requirements

At least 5 years of relevant machine learning experience
MS or PhD in Computer Science or Engineering, Mathematics, or a related field.
Experience with machine learning, optimization algorithms, deep-learning techniques
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with search engines and vector databases, along with their underlying algorithms.
Experience with big data frameworks and technologies such as Spark, Kafka, Cassandra.

Benefits

Corporate Retirement Savings Plan
Health and dental benefits
Short-term disability, and long-term disability
Life insurance, and AD&D – Company paid 2x base pay
Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
Paid time off for holidays and Vacation
Employee Stock Purchase Plan
Tuition Assistance Plan
Adoption assistance
Employee Assistance Program/Work Life Resource Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningoptimization algorithmsdeep learningAI modelsML modelsanomaly detectionroot-cause analysisdata analysistext miningperformance optimization

Certifications

MS in Computer SciencePhD in Computer ScienceMS in EngineeringPhD in EngineeringMS in MathematicsPhD in Mathematics