AI/ML Engineer

  • IT
  • Berlin, Germany

AI/ML Engineer

Job description

Are you a problem solver and a fast learner? Would you enjoy working in a fast-paced, entrepreneurial environment? Do you want to be part of a diverse and driven team striving for excellence? If the answer is yes, then keep reading!


Who We Are:

Atheneum is a global platform revolutionizing market research and knowledge sharing across the business community. Our mission is to accelerate the decision-making of our clients by connecting them to the world’s top professionals and industry leaders. We deliver interactions that generate intelligent insights and creative ideas ensuring our clients can drive their business forward efficiently.

Founded in 2010, Atheneum currently employs 440 professionals in 11 global offices and is rapidly growing as one of the world’s leading global insight platforms to strategy consulting firms, investment houses, and global corporations.


Our Opportunity 

This role is responsible for supporting the AI Initiative within Atheneum partners. Your success is being measured against your effectiveness in building operating AI & data analytics solutions and spread of functional AI implementations

You need to feel comfortable in an environment that not only offers but demands you taking active leadership in your domain, helping identify AI application potentials, championing it’s use within the global organization by building product features and solutions based on AI/ML as well as more traditional data-insight driven approaches and evangelizing their use.

Build, roll out and continuously track & improve the solutions as well as guide and support collaborating peers in the integration of these technologies into coherent and effective solutions.


The Team:

The interdisciplinary Digitalization team, responsible for all in-house built technology and associated business processes in Atheneum worldwide, consists of analysts, product managers/evangelists, UX specialists, developers of several specializations, QA and stakeholder managers, that form a joint unit for delivering state-of-the-art solutions to meet the challenges of our global internal community of users across the whole organization and all departments, as well as out external partners.

The team structure is kept intentionally flat, the decision culture is highly meritocratic and processes are designed to be red-tape-free. While everyone has their specializations, we encourage a generalist mindset and foster tight collaboration between the different disciplines within the team, as well as external stakeholders and users.

All this is not only in the service of providing the best possible support for our users in their everyday processes, but also to offer strategic capabilities and growth opportunities for Atheneum as a whole.

Job requirements

Profiles We Are Seeking:

  • Good knowledge of concepting and developing AI/ML based products/solutions
  • Excellent knowledge of current methodological landscape, incl. research trends, and openly available model repositories and training data sets
  • Excellent knowledge of the open-source and proprietary toolkits in the domain
  • Experience in evaluating data sets and driving increases in data quality
  • Good experience in Python, experience in hands-on development and tuning of python based models and toolkits
  • Experience with SQL and NoSQL DBs, including query languages

Bonus qualifications:

  • Math-oriented higher education (and research), in fields such as Informatics, Mathematics, Economics, Physics, etc.
  • Knowledge of AWS and MS based AI and data toolkit offerings
  • Knowledge of R and Matlab and other computational tools for exploratory experimentation, validation and testing
  • 1-2 Years of experience in the Data Scientist or comparable role
  • Knowledge of data preparation, and data pipelines, as well good knowledge of the tools landscape, especially in open-source

What we offer:

  • Public transportation discount
  • Partially refunded lunches
  • Urban Sports Club discount
  • Internal SWAP
  • German Classes