Position Details
About this role
This role involves developing and deploying AI models for BrazeAI, working with large datasets, and improving product capabilities through data pipelines and machine learning techniques.
Key Responsibilities
- Collaborate with customer analytics teams
- Develop reusable data pipelines and APIs
- Refine reinforcement learning algorithms
- Contribute to product strategy with insights
- Ensure successful adoption and measurable outcomes
Technical Overview
The technical environment includes Python, TensorFlow, Keras, scikit-learn, SQL, cloud platforms like GCP, and container orchestration with Kubernetes, emphasizing scalable ML solutions.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, data pipelines, and deployment, proficient in Python and cloud platforms. They should be capable of collaborating with technical teams and handling large-scale data environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with Python or ML libraries, Lack of large-scale data experience, No deployment or pipeline experience, Bachelor's degree not in relevant field
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