We are looking for ML Engineer who is ready to join the team.
3+ Experience software development at an enterprise scale
2+ 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
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
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.
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.
GlobalLogic, a Hitachi Group Company, is a leader in digital product engineering. We help our clients design and build innovative products, platforms, and digital experiences for the modern world. We help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world.
What is GlobalLogic in numbers:
1,800+ products releases per year
400+ active clients
70+ private label customer labs
35 product engineering centers
Visit our website and learn more about GlobalLogic, view our open positions and career opportunities, as well as why you should join us!
DOU company page:
Job posted on
22 November 2022
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