Junior/Mid Data Scientist

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, 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.

🚀 Your main responsibilities:

• Develop, implement, and validate Machine Learning models tailored to specific project needs, including leveraging Large Language Models (LLMs) and generative AI techniques.

• 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.

🎯 What you’ll need to succeed in this role:

• Over 1,5 years of commercial experience in developing and deploying ML solutions.
• Hands-on experience with Large Language Models (LLMs) or Generative AI tools and techniques.
• Proficiency in Python and familiarity with common ML libraries.
• Experience in deploying applications on cloud platforms like AWS or Azure.
• Working knowledge of SQL and/or NoSQL databases.
• Familiarity with CI/CD principles and tools.
• Strong problem-solving and communication skills; ability to work in a team.
• High proficiency in English (minimum C1 level).

➕ Nice to have:

• Knowledge of MLOps frameworks and tools like Kubernetes and Docker.

• Exposure to Big Data technologies.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

🎁 Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.

• Engage with top-tier global enterprises and cutting-edge startups on international projects.

• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 

• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.

• Choose from various employment options: B2B, employment contracts, or contracts of mandate.

• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.

• Participate in team-building events and utilize the integration budget.

• Celebrate work anniversaries, birthdays, and milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Get full work equipment for optimal productivity, including a laptop and other necessary devices.

• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.