Position Details
About this role
This role involves developing and deploying machine learning models, working with large datasets, and collaborating with customer teams to ensure successful implementation of AI solutions.
Key Responsibilities
- Collaborate with customer analytics teams
- Develop ML models
- Improve architecture and reusable pipelines
- Refine reinforcement learning algorithms
- Provide technical expertise
Technical Overview
Proficient in Python, ML libraries like TensorFlow and scikit-learn, SQL, and tools such as Git, CI/CD, GCP, Kubernetes, and Terraform for scalable data science solutions.
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 familiar with 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 with ML pipelines or deployment, No relevant degree or experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile