Position Details
About this role
This role involves collaborating with customers to implement AI solutions, developing reusable data pipelines, and advancing reinforcement learning algorithms within a SaaS environment.
Key Responsibilities
- Collaborate with customer analytics teams
- Develop data pipelines and APIs
- Refine reinforcement learning algorithms
- Improve product architecture
- Ensure successful adoption of AI models
Technical Overview
Proficient in Python, SQL, TensorFlow, Keras, scikit-learn, XGBoost, CatBoost, with experience in data integration, APIs, and deploying ML models at scale, preferably on GCP and Kubernetes.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, data science, and reinforcement learning, proficient in Python and SQL, with experience deploying ML models in production environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or SQL, No experience with ML pipelines or reinforcement learning, No relevant technical degree, No experience in data science or machine learning
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