Position Details
About this role
A role focused on developing and deploying machine learning and AI models to solve real-world business problems, with a focus on natural language systems and predictive analytics.
Key Responsibilities
- Own ML project lifecycle
- Build predictive models
- Evaluate and fine-tune generative AI agents
- Translate business challenges into data science solutions
- Collaborate with cross-functional teams
Technical Overview
Involves building models using Python, deploying AI solutions, and working with data pipelines and databases like SQL and NoSQL, within a SaaS environment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, AI, and data science. They should have strong skills in natural language processing and deploying predictive models, with the ability to translate business challenges into data-driven solutions.
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 in machine learning or AI, No proficiency in Python, No experience with model deployment, Unrelated field background
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile