Data Scientist / AI Engineer

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.