Company Description
As the world is moving towards hybrid clouds and cloud native architectures, optimizing IT stacks to maximize cost efficiency, performance, and sustainability has become an increasingly complex task, involving hundreds of parameters and billions of combinations.
Akamas is a software platform that redefines IT performance optimization thanks to AI, automation, and domain expertise developed by working with some of the most demanding enterprise customers across the world, achieving unprecedented levels of performance, efficiency, and cost savings.
Job Description
We are looking for a Junior Data Scientist to contribute to the development of our core machine learning algorithms that drive automated optimization of our customer applications. You will contribute to improving our algorithms and develop new machine-learning methods for the automatic performance testing and tuning of modern software stacks.
The ideal candidate should have a strong interest in machine learning and statistical methods.
As a Junior Data Scientist, you will contribute to developing new technologies for automatic performance tuning using a variety of machine learning methods; interacting with peer data scientists, software engineers, designers, product managers, and customers.
Strong knowledge of machine learning fundamentals, eagerness to learn about Bayesian optimization and Gaussian processes, and an understanding of statistical methods is expected.
Job Responsibilities
As a Junior Data Scientist, you are expected to have an impact on our product evolution through individual contributions by:
* Collaborating in research and development of innovative configuration autotuning algorithms for effective performance optimization of modern IT stacks
* Developing statistical models on performance data, including time-series data
* Performing exploratory data analysis
* Visualizing data, reporting results and deriving useful knowledge using a data-driven approach.
Job Requirements
The candidate must have:
* Master’s degree in computer science, Engineering, or a related field, or equivalent experience
* Knowledge of machine learning techniques and algorithms, such as k-NN, Support Vector Machines, RandomForests, etc.
* Basic experience in applied statistics skills, such as distributions, statistical testing, regression, etc.
* Good scripting and programming skills
* Basic proficiency in the Python programming language
* Basic experience in data science frameworks (such as scikit-learn, scipy, numpy, and pandas) and visualization frameworks (such as matplotlib, seaborn and plotly)
* Good communication skills and ability to work in a team environment
The candidate should preferably have a basic experience with the following topics:
* Performance engineering
* MLOps practices
* Kubernetes and containerizd applications
* Java
Compensation & Benefits
* Join Our Team and Make a Real Impact: in Akamas we’re on the lookout for dynamic individuals who want to be a driving force in their field, making a significant difference from day one
* Flexibility and Trust: from the moment you step in, you’re not just an employee, but you’re part of a team of talented colleagues. Akamas value freedom and responsibility, giving you the autonomy to excel and contribute your best in Hybrid mode
* Competitive Salary and Company Welfare: Your hard work deserves recognition! Enjoy a competitive salary that reflects your skills and dedication. As a part of our team, you’ll also receive a company welfare package of €600, useful for fuel, bills, wellness and well-being!
* Sustainability: in our office, you will always have access to fresh fruit thanks to Cortilia. In Akamas, we are committed to connecting conscious customers with local products and producers, all while prioritizing environmental and social responsibility
* Tech Your Way: choose your weapon in the tech battle! Whether you’re team Mac or team Windows, we believe in equipping you with the tools that spark joy. After all, the only thing better than coding your next big idea is doing it on a laptop that suits your style!