Lead Data Scientist & AI Engineer — Tech Lead

Addepto; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

Addepto in the United States is seeking a Lead Data Scientist / AI Engineer / Tech Lead to guide ML solutions from concept to production, collaborating with a team of experts on challenging projects.

You will design AI architectures, lead development and validation of ML models, and translate client needs into data science problems while coordinating with Data Engineering and Software Engineering teams in an Agile environment.

Qualifications

• Experience leading ML projects and delivering production-grade models.
• Strong understanding of AI architectures and system design.
• Ability to translate business problems into data science solutions and roadmaps.

Responsibilities

• Lead the development, implementation, and validation of ML solutions aligned with project goals.
• Design AI solution architectures to meet complex business needs and drive innovation.
• Research, test, and select tools and technologies to meet requirements.
• Mentor cross-functional teams and promote collaboration.
• Translate clients' needs into data science problems and actionable plans.
• Architect and oversee data pipelines and workflows with data quality and security in mind.
• Coordinate with Data Engineering and Software Engineering teams to build AI applications.
• Present findings and recommendations clearly to stakeholders.
• Prioritize and manage tasks within an Agile/Scrum framework for timely delivery.

Skills

Machine Learning

AI Architectures

Team Leadership

Agile/Scrum

Data Pipelines

Tools

AWS

LLMs

Python

Job description

Addepto in the United States is seeking a Lead Data Scientist / AI Engineer / Tech Lead to guide ML solutions from concept to production, collaborating with a team of experts on challenging projects.

You will design AI architectures, lead development and validation of ML models, and translate client needs into data science problems while coordinating with Data Engineering and Software Engineering teams in an Agile environment.