Remote AI & ML Solutions Architect

Triwill Group; Spain (TX); On-site; USD 93,000 - 139,000; Full time

Benefits offered by this job

Fully remote

Exposure to AI initiatives

Cross-functional collaboration

Responsible AI focus

Job summary

Jobgether is seeking an experienced Machine Learning Specialist for a fully remote role. The position focuses on designing and delivering data-driven AI solutions across data science, analytics, and predictive modeling, with collaboration across data, engineering, analytics, and project teams.

You will transform large datasets into actionable models, reports, and intelligent applications while promoting responsible AI practices, privacy, and ethics throughout development.

Qualifications

• 6+ years of professional experience in data analysis, ML, and related quantitative work.

Responsibilities

• Design, develop, train, validate, and evaluate machine learning models for business and enterprise use cases.
• Analyze large and complex datasets to identify meaningful patterns, generate insights, and support data-driven decision-making.
• Prepare, clean, normalize, structure, and organize data for predictive and prescriptive modeling.
• Develop analytical models, data products, dashboards, reports, and visualizations that communicate findings effectively.
• Integrate machine learning models into applications, business processes, and operational workflows.
• Gather, clarify, and document business and technical requirements for AI and analytics initiatives.

Skills

Statistical analysis

Machine learning

Data transformation

Programming languages

Communication

Problem solving

Tools

Python

SQL

Job description

Jobgether is seeking an experienced Machine Learning Specialist for a fully remote role. The position focuses on designing and delivering data-driven AI solutions across data science, analytics, and predictive modeling, with collaboration across data, engineering, analytics, and project teams.

You will transform large datasets into actionable models, reports, and intelligent applications while promoting responsible AI practices, privacy, and ethics throughout development.