Position Details
About this role
This role involves collaborating with customers and internal teams to implement and improve machine learning models, develop scalable data pipelines, and deploy AI solutions in a SaaS environment.
Key Responsibilities
- Collaborate with customer analytics teams
- Develop reusable data pipelines and APIs
- Refine reinforcement learning algorithms
- Shape product strategy with insights
- Ensure successful adoption and outcomes
Technical Overview
Stack includes Python, ML libraries (TensorFlow, Keras, scikit-learn), SQL, Kubernetes, Terraform, and Google Cloud Platform, focusing on data integration, pipeline setup, and model deployment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience working with large-scale data, proficient in Python and ML libraries, and experienced in deploying machine learning 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 ML pipelines, No proficiency in Python or SQL, No experience with model deployment, No relevant degree
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