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Lead Data Scientist / ML Engineer

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Key responsabilities:

  • Lead the development of ML solutions with alignment to project goals and innovation.
  • Design AI architectures meeting complex business objectives, research and select technologies, and understand client needs.
  • Architect data workflows, ensuring quality and security standards are met.
  • Coordinate with Engineering teams, present findings to stakeholders, prioritize tasks in Agile framework.
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Addepto Startup https://addepto.com/
51 - 200 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 Lead 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.


🚀 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 AL solutions to meet the business requirements.

  • 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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