Design, build, test, and optimize advanced machine learning models—including NLP, deep learning, and large language models
Develop and refine complex algorithms; evaluate model results; generate actionable recommendations; communicate findings to both technical and non‑technical audiences
Analyze, interpret, and report on complex data sets, algorithmic outcomes, and ML performance metrics
Cleanse, label, and validate both structured and unstructured data
Experiment with new data sources and integrations to improve model performance and operational efficiency
Identify and implement analytics tools and platforms (Python, SQL, Power BI, etc.)

Requirements

Bachelor's Degree in a related field (e.g., Computer Science, Engineering, Biostatistics, or a Scientific field)
4 years of previous experience
Master's Degree or equivalent in related field (e.g. Computer Science, Engineering, Biostatistics or Scientific)
3 years’ experience including either industry or industry/education
Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
Experience using statistical computer languages (e.g, R, Python, SQL, etc.)
Ability to effectively communicate information
Experience with cloud services (e.g., AWS and Snowflake)

Benefits

Competitive salaries
Performance-based incentives
Health insurance
Wide variety of benefits programs to address individual needs

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningnatural language processingdeep learninglarge language modelsalgorithmsdata analysisdata cleansingdata validationstatistical computer languagesmachine learning techniques

Soft Skills

communication

Certifications

Bachelor's DegreeMaster's Degree