Senior AI Engineer — Remote ML & MLOps Focus

Plain Concepts Group; United States; Remoto; USD 90.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote work (optional)

Flexible schedule

Medical and dental insurance

Training budget and certifications

English lessons

Birthday day off

Annual team-building event

Descrizione del lavoro

Plain Concepts is seeking a Data Scientist/AI Engineer to design and deploy cutting-edge AI solutions for diverse clients. You will train, deploy, and monitor models, work across Azure cloud, and contribute to end-to-end ML pipelines.

Join a global team valuing AGILE practices, ownership of projects, and continuous learning. This role supports remote work options and a dynamic, innovative environment with ongoing training opportunities.

Competenze

• More than 5 years of experience in AI/ML/CS.
• Experience building end-to-end AI/ML software with production components.
• Experience with Azure or cloud-based solutions.
• Strong Python and SQL fundamentals.
• Experience in testing (unit/integration).
• Knowledge of NLP and Computer Vision; ML lifecycle and MLOps is highly valued.

Mansioni

• Participating in designing and developing AI solutions for challenging projects.
• Building production-grade ML/AI solutions with solid software engineering principles.
• MLOps: automated deployment and monitoring of models and infrastructure.
• Data analysis including cleaning and feature transformation.
• Developing and training ML/AI models.
• Putting AI models into production with performance optimization and testing.

Conoscenze

Python

ML

NLP

Computer Vision

ML Ops

Azure

GitHub Copilot

SQL

Software Engineering

Team Collaboration

Strumenti

Docker

REST APIs

TensorFlow

TensorFlow Serving

gRPC

CI/CD

Descrizione del lavoro

Plain Concepts is seeking a Data Scientist/AI Engineer to design and deploy cutting-edge AI solutions for diverse clients. You will train, deploy, and monitor models, work across Azure cloud, and contribute to end-to-end ML pipelines.

Join a global team valuing AGILE practices, ownership of projects, and continuous learning. This role supports remote work options and a dynamic, innovative environment with ongoing training opportunities.