Data Scientist / AI Engineer

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 is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide .

As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Lead Data Scientist / AI Engineer / Tech Lead , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
• AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

Your main responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
• Lead the design of AI solution architectures that meet complex business goals and drive innovation.
• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
• Understand clients' needs and translate business problems into data science problems.
• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
• Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
• Present findings and recommendations clearly and concisely to stakeholders.
• Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.