Generative AI ML Engineer — Remote/Relocation Paid

Adidev-Technologies-Inc; Seattle (WA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Relocation assistance

Remote support

Zusammenfassung

Adidev Technologies Inc. seeks a skilled Machine Learning Engineer in Seattle to deploy advanced ML models with emphasis on Generative AI. You will build, refine, and deploy AI-powered solutions turning ideas into market-ready features and services for clients.

You will lead end-to-end data modeling, experiment with GenAI algorithms, and collaborate with cross-functional teams to integrate AI capabilities into products while adhering to ethical and privacy standards.

Qualifikationen

• Degree in Computer Science, Engineering, Statistics, or related field.
• Experience in ML, DL, NLP, CV, RL, or similar AI domains.
• Hands-on with Generative AI models and industry frameworks.
• SQL/NoSQL, data visualization, and version control experience.
• Strong problem-solving and collaboration skills.

Aufgaben

• Architect and refine ML models and algorithms for production.
• Manage end-to-end data modeling from requirements to deployment.
• Perform data preprocessing, feature engineering, and GenAI techniques.
• Lead cross-functional work to integrate GenAI into offerings.
• Analyze large datasets for trends and opportunities.
• Optimize models for accuracy and efficiency, using best practices.
• Stay updated on GenAI trends and MLOps practices.
• Ensure ethical AI and data privacy compliance.

Kenntnisse

Python

Generative AI

ML/DL/NLP

Cloud platforms

Data modeling

Ausbildung

Bachelor's degree in CS/Engineering/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Jobbeschreibung

Adidev Technologies Inc. seeks a skilled Machine Learning Engineer in Seattle to deploy advanced ML models with emphasis on Generative AI. You will build, refine, and deploy AI-powered solutions turning ideas into market-ready features and services for clients.

You will lead end-to-end data modeling, experiment with GenAI algorithms, and collaborate with cross-functional teams to integrate AI capabilities into products while adhering to ethical and privacy standards.