Machine Learning Engineer
Python
Machine Learning Engineer
Cosmose sp. z o. o.
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Office
Cosmose sp. z o. o.
We invented OMNIcookie, a cookie for the physical world. It combines offline stores with online advertising, revolutionizing the advertising industry and retail. Cosmose achieves its location accuracy, without beacons, equipment or installations.
Tech stack
Python
SQL
RESTful API
Pandas
SciPy
NumPy
scikit-learn
matplotlib
Jupyter Notebook
TensorFlow
Job description
Cosmose is a fast-growing software company on a path to revolutionize the $600BN advertising industry. Its OMNIcookie, a cookie for the physical world, reaches over 1 billion smartphones in Asia. Cosmose delivers results for the world’s biggest luxury and cosmetics brands, including L'Oreal, LVMH and Cartier.
Since 2014, Cosmose has grown to 1B smartphones, 350K stores, 3 offices, 2m accuracy, 1 AI brain and 50+ world's best talents. We’re proud of our achievements and growth, but... we haven't even started yet. cosmose.co
Joining us - means working with strong, smart and innovative team located in our Warsaw R&D Center. We ask hard questions and challenge each other to constantly improve our work.
Learn more about us:
Currently, we are looking for an expert in machine learning to help us extract value from our data and create artificial intelligence products. You'll be part of a growing team, crafting our infrastructure and delivering value to our customers.
Responsibilities
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progres
- Managing available resources such as hardware, data, and personnel so that deadlines are met
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training
- Defining validation strategies
- Defining the preprocessing or feature engineering to be done on a given dataset
- Defining data augmentation pipelines
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Deploying models to production
- Teaching and mentoring others in the use of AI/Machine Learning
Requirements
- Proficiency with Python, SQL, RESTful API and libraries such as Pandas, SciPy, NumPy, Scikit-Learn, Matplotlib
- Familiarity with Jupyter Notebook
- Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch
- Practical knowledge of Linux OS (Ubuntu)
- Demonstrated ability in the application of Machine Learning in real-world industrial settings with large scale data
- Hands-on working experience with ML models for time series forecasting
- Knowledge of core CS concepts such as: common data structures and algorithms
- Proactive attitude - we hire people that have a strong desire to do better and be better
- Outstanding analytical and problem-solving skills
- BSc in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science or similar field
- B2 Level in English
- Experience working with agile software development methodologies (scrum)
Bonus points for:
- Mathematical background (linear algebra/statistics/optimization methods)
- Familiarity with Amazon Web Services (AWS), Kubernetes, Docker
- Familiarity with a data processing frameworks (e.g. Spark, Dask)
- Experience with Machine Learning models for recommendation engine, time series forecasting and digital signal processing
What you can expect from us:
- (80-120 PLN net per hour) B2B or regular employment contract (13 000 - 20 000 PLN gross per month)
- English and Chinese lessons for free
- Referral bonuses
- Friendly working atmosphere: flexible working hours, ability to work remotely a couple days each month, beautiful office in Warsaw prime city center (Check it!), bike parking, equipment of your choice, standing desk and anything you need to survive in the office :) (xbox, great coffee and popcorn)
- Small impactful teams of experienced people and opportunity to work in multiple projects
- Working in a product company that has gained great success in Asia