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Tech Stack
Tools & technologiesAirflowPythonSparkSQL
About the role
Key responsibilities & impact- Contribute to the development and deployment of models
- Design and implement pipelines for model fine-tuning and evaluation
- Develop prompt engineering strategies and embedding techniques to enhance model performance
- Prototype applications that address specific business needs
- Assist in model performance evaluation and bias/fairness assessments
- Collaborate with MLOps and engineering teams to support model scaling and monitoring
- Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices
Requirements
What you’ll need- Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
- 3+ years of experience in data science or machine learning
- 3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL)
Benefits
Comp & perks- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life insurance
- Disability insurance
- Paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
model developmentmodel deploymentmodel fine-tuningmodel evaluationprompt engineeringembedding techniquesdata sciencemachine learningprogramming in Pythondata engineering workflows
Soft Skills
collaborationknowledge sharingbest practices contribution
Certifications
Bachelor's degree in computer scienceBachelor's degree in Machine LearningBachelor's degree in Applied MathematicsBachelor's degree in Computer EngineeringBachelor's degree in Software EngineeringBachelor's degree in Artificial IntelligenceBachelor's degree in Physics
