Published: Mon, 09 Dec 2024 00:50:45 GMT
Junior/Mid Data Scientist at Addepto – AI and Big Data Consulting Company
Addepto is a renowned consulting and technology firm that specializes in AI and Big Data. We assist clients in delivering groundbreaking data projects. Our partnerships with top global enterprises like Rolls Royce, Continental, Porsche, ABB, and WGU, as well as innovative startups, have earned us recognition from Forbes as one of the top 10 AI companies.
As a Data Scientist at Addepto, you will have the exciting opportunity to work alongside a team of technology experts on challenging projects across various industries, utilizing cutting-edge technologies. We are currently seeking talented individuals to join us on the following projects:
– GenAI knowledge retrieval platform for a leading automotive company: This project involves the development of an Azure-backed platform that utilizes advanced LLMs to extract valuable insights from a large-scale knowledge base.
– AI recommendation engine for a leading innovation company: This project entails designing AWS-powered solutions to provide industry-specific recommendations using complex LLMs.
– AI optimization engine for airport operation management: This project involves creating an AI-driven optimization engine that uses real-time data from sources like radar, air traffic, and passenger information to streamline airport operations.
🚀 Your main responsibilities will include:
– Developing, implementing, and validating Machine Learning models tailored to project requirements, including the use of Large Language Models (LLMs) and generative AI techniques.
– Understanding clients’ needs and translating business problems into data science problems.
– Designing scalable AI solution architectures.
– Building data pipelines and workflows, ensuring the highest standards of data quality and security.
– Collaborating with Data Engineering and Software Engineering teams to deploy AI applications.
– Presenting findings and recommendations clearly and concisely to stakeholders.
– Effectively planning tasks within an Agile/Scrum framework.
🎯 To succeed in this role, you will need:
– 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 with the 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 with a supportive team of passionate AI & Big Data enthusiasts.
– Engage with top-tier global enterprises and cutting-edge startups on international projects.
– Enjoy flexible work arrangements, including remote work or 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, including 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.
– Boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups with our backing.
– Experience a smooth onboarding process with a dedicated buddy and join our friendly, supportive, and autonomous culture. Apply link
