Position: Senior ML Engineer
Company: GlobalLogic
Category: Data Science
Experience required: 3y
English level: upper

GlobalLogic looking for Senior ML Engineer

Description:
Our Client is a multinational corporation operating in the fields of industry, worker safety, healthcare, and consumer goods

The main goal of the project is to build a system that allows capturing international POS data of retailers in different countries for further analysis – information should be collected, aggregated, and transformed according to business requirements. Acquired data is used for visualization or in work with deep analysis, optimization, and prediction.

Requirements:
Basic Requirements

4+ Experience software development at an enterprise scale
3+ years of experience in applied ML in the industry with a degree in computer science, machine learning, mathematics or similar field
Strong knowledge (3+ years experience) of Python programming languages building production systems
Demonstratable experience building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions.
1+ year experience with big data systems like Spark, Hadoop, Hive, Databricks, or other large scale data processing engines
 

Additional qualifications that could help you succeed even further in this role include:

Experience developing software that employs statistical computing/data science toolsets including R and Python
Experience with programming & data engineering languages like Java, Scala, C# and SQL.
Excellent understanding of data science techniques and algorithms, such as reinforcement learning, deep learning, machine learning, NLP, and predictive analytics.
Experience working with Agile Scrum methodologies.
Industry experience building end-to-end Machine Learning systems
Completed graduate course(s) in statistical computing, machine learning, advanced experimental design, and multivariate analysis
DevOps Experience
Experience with Multi-armed bandit (MAB) problem space
Graduate Degree (MS or PhD) in Statistics, Computer Science, Physics, Applied Mathematics or Mathematics from an accredited university

Preferences:
Java, C#, SQL, Spark, Hive, Scala


Responsibilities:
Work closely with the business team to identify areas for improvement in the supply chain.
Proactively drive inventory optimization processes with different Data Science tools and approaches.
Design and Development of ML models and statistical computing algorithms
Research & Development for various type of projects
Continuous improvement of internal Machine Learning frameworks and statistical models and tools
Translating code that was written in R language to the Python
Building high-load and highly-scallable solutions
Day-to-day activities with data science techniques and algorithms, such as reinforcement learning, deep learning, machine learning, NLP, and predictive analytics.