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Data Scientist / ML Engineer

fully flexible
Remote: 
Full Remote
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Offer summary

Key responsabilities:

  • Develop, implement, and validate ML solutions.
  • Translate business needs into data science problems.
  • Design scalable AI architectures.
  • Build data pipelines with high data quality.
  • Collaborate in Agile/Scrum environment.
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Addepto Information Technology & Services Startup https://addepto.com/
11 - 50 Employees
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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:

  • GenAI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base. 

  • AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

  • 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.


πŸš€ Your main responsibilities:

  • Develop, implement, and validate Machine Learning solutions tailored to specific project requirements.

  • Understand clients' needs and translate business problems into data science problems.

  • Design scalable AI solution architectures.

  • Develop data pipelines and workflows, ensuring the highest standards of data quality and security.

  • Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications.

  • Present findings and recommendations clearly and concisely to stakeholders.

  • Effectively plan tasks within an Agile/Scrum framework.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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