Position Details
About this role
This role involves developing and deploying machine learning models, working closely with customer teams to enhance product capabilities, and refining reinforcement learning algorithms in a SaaS environment.
Key Responsibilities
- Collaborate with customer analytics teams
- Develop reusable data pipelines
- Refine reinforcement learning algorithms
- Shape product strategy with technical insights
- Ensure successful adoption and measurable outcomes
Technical Overview
Stack includes Python, TensorFlow, Keras, scikit-learn, SQL, data pipelines, APIs, and DevOps tools like Git, CI/CD, and GCP for scalable ML solutions.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, proficient in Python, TensorFlow, and SQL, with strong collaboration skills and experience deploying 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 ML libraries, No experience in model deployment, No relevant technical degree, No experience with data pipelines
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile