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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Gather business requirements and translate them into functional AI/ML solution designs.
- Support the development and testing of predictive models, classification models, and optimization algorithms.
- Build and maintain feature engineering pipelines in collaboration with Data Engineering.
- Develop automation solutions such as NLP, anomaly detection, and scoring workflows.
- Participate in model evaluation, validation, monitoring, and lifecycle maintenance.
- Prepare documentation for technical design, assumptions, and model logic.
- Work with Data Science and BI teams to integrate model outputs into dashboards, applications, or analytics products.
- Support user training and adoption of AI‑enabled solution capabilities.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, IT, Engineering, or a related field; or equivalent experience.
- Proficiency with Python, SQL, and modern ML frameworks.
- 3–5 years of related experience in AI, Data Science, or advanced analytics.
- Experience with machine learning development, deployment, and automation preferred.
- Experience in healthcare, biotech, or regulated industries is a plus.
- Effective communication and documentation abilities.
- Ability to work collaboratively in technical and cross‑functional teams.
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
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
AIMLpredictive modelsclassification modelsoptimization algorithmsfeature engineeringNLPanomaly detectionPythonSQL
Soft Skills
effective communicationdocumentation abilitiescollaborative workcross-functional teamwork
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in ITBachelor’s degree in Engineering
