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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Contribute to development and maintenance of Machine Learning models for business problems.
- Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
- Contribute towards prompt engineering for data analysis and discovery.
- Conduct regular testing and performance analysis.
- Conduct necessary bench-marking experiments.
Requirements
What you’ll need- Bachelor’s in computer science or related field.
- Years of experience: 5+
- Hands-on experience in building ML and Data Science solutions for real world problems.
- Understanding of ML models and concepts, good practices and analysis.
- Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
- Strong data science and statistical analytics skills.
- Strong in problem-solving with innovative mindset.
- Strong Python development skills.
Benefits
Comp & perks- Equal opportunity employer
- Accommodation for disabilities during the hiring process
- Sponsorship for eligible candidates for employment visas
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
Machine Learningpredictive analyticsmodel evaluationparameter tuningfeature selectionmodel calibrationprompt engineeringdata analysisPythonstatistical analytics
Soft Skills
problem-solvinginnovative mindset
