Machine Learning Engineer (вакансія неактивна)

Skills & Qualifications:
-Very good understanding of Machine Learning concepts and algorithms;
-3+ years experience with Python and its application to Machine Learning;
-Machine Learning frameworks and libraries like TensorFlow, PyTorch, etc.;
-Master degree in quantitative-based science (Mathematics, Physics, Operations Research, Statistics, Computer Science, etc.)

Nice to have:
-Knowledge of Big Data algorithms and working experience as a Data Scientist / Analyst;
-Experience with SparkML with PySpark
-Experience with SparkR and/or Azure Databricks and R language scripting;
-Knowledge of Azure Machine Learning Studio because platform uses MS technologies stack and Azure services

Let’s talk about the perks:
-Attractive salary, negotiable;
-Language classes;
-Flexible work schedule;
-Friendly environment;
-Medical insurance and sport card;
-Interesting job in an innovative project with the latest technologies were you can even propose own stack;
-Collaboration with a team full of professionals and... interesting people for sure :)

Responsibilities:
-Propose and substantiate new models according with the task;
-Formulate, estimate and test models;
-Develop model strategies by elaborating integrated architecture and hierarchy; establish metadata and modeling standards; develop and evaluate logical and physical models;
-Collaborate with engineering and product development teams.

About the Customer:
Do not miss your chance! You will work with the 6th-largest privately owned organization in the United States. Moreover, the Customer is one of the “Big Four” accounting organizations and the largest professional services network in the world by revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk and financial advisory services with more than 263,900 professionals globally.

About the Project:
The Platform creates exponential value for clients and people combining technology and business transformation on a global scale.

You will be responsible for:
Developing complex intelligent ML algorithms using Python (or possibly other language) using modern ML frameworks (like TensorFlow, PyTorch, etc.). By the way, frameworks are still under consideration and You will be able to propose and argue your choose depending on task!
Continuously test & improve system smartness by ‘teaching’ it with huge volume of data in order to discover trends and anomalies within a huge datasets.
The goal is to flag issues, opportunities, and planning needs; propose steps to process particular data automatically with decreasing human factor in downstream data analysis.