Company Description
Connatix, the most advanced video platform for publishers, powers the video advertising businesses of the largest media companies in the world including CBS, Time Inc and Tribune Media.
Headquartered in New York City, with offices in Tel Aviv, Israel and Cluj-Napoca, Romania.
Job Description :
You will be part of a Data Science / Machine Learning development team which has the main focus in developing microservices that use the latest data science approaches to improve different aspects of our business.
Implement and use different data science algorithms.
Developing code for gathering and using big data from different data sources in the cloud to train Machine Learning models.
Use these models in a production environment;
Understand data, analyze it and extract insights that can be used in algorithms and optimizations
Create scalable microservices that use these algorithms in our production pipeline;
Integrate microservices in production environment;
Your responsibilities will include programming, documenting, testing, debugging, and participating in agile development activities to include sprint planning, working in a team environment, actively participating in standups, and other agile ceremonies.
Qualifications
3+ years of Python coding and development experience;
Knowledge of Big Data EDA (cleaning, reporting and visualisation)
Experience working with Apache Spark and Hadoop
Prior experience on Docker containers and orchestration through Kubernetes
Excellent software design, problem solving and debugging skills;
Knowledge of the Python web frameworks like Falcon, Flask, or Django and associated protocols : HTTP REST, gRPC, protobuf;
Nice to have
2+ years experience in using AWS
NET Core experience
Familiarity with deep learning and / or machine learning algorithms and methodologies is a plus;
Benefits
Medical coverage
Extra Holidays
Flexible working program
Parking lot
Work from home
Trainings, certifications, conferences
Access to Benefits platform with a monthly benefit budget from which you can choose flexible benefits