Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field., Strong experience in Machine Learning and AI technologies., Proficiency in programming languages such as Python or R., Familiarity with cloud platforms like AWS for deploying AI solutions..

Key responsabilities:

Develop and validate Machine Learning solutions aligned with project objectives.

Design AI architectures to meet complex business goals.

Research and select appropriate tools and technologies for AI solutions.

Coordinate with engineering teams to build and implement AI applications.

Job description

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a Data Scientist/ML Engineer, 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.

We’re open to candidates of different seniority levels, from strong mid/regular to senior developers.

🚀 Your main responsibilities:

Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
Design AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements.
Understand clients' needs and translate business problems into data science problems.
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.

Required profile