Data Scientist (GenAI) Plain Concepts is a global technology company with a track record of delivering AI and software projects for clients around the world. We are growing our AI/ML team and are seeking a Data Scientist with GenAI expertise to design, develop, and deploy AI/ML solutions for challenging projects.

Responsibilities include: - Participating in the design and development of AI solutions for challenging projects - Building production-ready ML/AI systems with solid software engineering and ML/AI principles - MLOps: automated deployment and monitoring of models and infrastructure - Data analysis, cleaning, and feature transformation - Developing and training ML/AI models and putting them into production - End-to-end ML lifecycle from development to scalable production deployment

Requirements

Compensation and benefits:

5+ years of experience in AI/ML/CS
Experience delivering end-to-end AI-enabled software products
Experience with Azure or other cloud platforms
Strong Python skills and solid SQL knowledge
Experience with testing (unit, integration)
Knowledge of NLP and Computer Vision
Hands-on experience with end-to-end ML lifecycle and ML pipelines (MLOps experience is valuable)
Experience using GitHub Copilot or similar AI coding tools
Ability to learn quickly and work well in a team
Fluent Spanish (mandatory)
Nice to have: English, Big Data tools, RESTful API development and DevOps practices (Docker, CI/CD), experience with recommendation systems, TensorFlow components
Salary determined by market and experience

About the role

Data Scientist (GenAI) Plain Concepts is a global technology company with a track record of delivering AI and software projects for clients around the world. We are growing our AI/ML team and are seeking a Data Scientist with GenAI expertise to design, develop, and deploy AI/ML solutions for challenging projects.

Responsibilities include: - Participating in the design and development of AI solutions for challenging projects - Building production-ready ML/AI systems with solid software engineering and ML/AI principles - MLOps: automated deployment and monitoring of models and infrastructure - Data analysis, cleaning, and feature transformation - Developing and training ML/AI models and putting them into production - End-to-end ML lifecycle from development to scalable production deployment

Requirements

Compensation and benefits:

5+ years of experience in AI/ML/CS
Experience delivering end-to-end AI-enabled software products
Experience with Azure or other cloud platforms
Strong Python skills and solid SQL knowledge
Experience with testing (unit, integration)
Knowledge of NLP and Computer Vision
Hands-on experience with end-to-end ML lifecycle and ML pipelines (MLOps experience is valuable)
Experience using GitHub Copilot or similar AI coding tools
Ability to learn quickly and work well in a team
Fluent Spanish (mandatory)
Nice to have: English, Big Data tools, RESTful API development and DevOps practices (Docker, CI/CD), experience with recommendation systems, TensorFlow components
Salary determined by market and experience

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