Data & Machine Learning Engineer (offline)

Job Responsibilities:
● Building machine learning pipelines to deliver predictions in production, at scale.
● Working on the development of the Data Science computing platform in AWS, CD4ML tools and model monitoring mechanisms.
● Contribute to decisions about technology stack, particularly as it relates to end-to-end ML model and data flow and automation.
● Developing proof-of-concept ML models to solve problems for a variety of data and domains, including entity resolution and linkage, deep learning for similarity learning, market time series forecasting.
● Being a team player and constantly coordinating with the other disciplines to deliver excellent products.
● Contributing to the Data Science Hub activities, supporting best practices, knowledge sharing and cross-functional initiatives.

Requirements:
● Creative and intellectually curious people with at least 5 years hands-on experience in machine learning engineering, or 5 years experience in data engineering and a strong attitude for machine learning.
● Rigorous engineers, which value building at scale and delivering at quality, and think of ML integration in software in terms of ML pipelines.
● Distributed computing enthusiasts, with at least 2 years of experience with Spark and the Hadoop ecosystem, along with other big data technologies.
● MLOPs fanatics, with proven experience in building CI/CD pipelines for machine learning models
● Python developers, programmers, with excellent knowledge of SQL.
● Generous, flexible team players.
● Amazing communicators who can convey the importance of their work to laypersons as well as peers.
● Full working proficiency in English.

Will be a plus:
● Hands on experience with orchestrating machine learning and big data services in AWS (Step Functions, Sagemaker, EMR, S3, Amazon Aurora, Amazon Athena).
● Experience with orchestrating production workflows in Apache Airflow.
● Knowledge of Scala.

We offer:
● Regular compensation package reviews
● 20 working days paid vacation leave, 15 working days of paid sick leave with a certificate and 5 working days of paid sick leave without a certificate.
● Medical Insurance program for employee (and the ability for an employee to insure family members at a corporate rate)
● Certification coverage & support for participation in specialized events (webinars, conferences, trainings etc.)
● Regular team-buildings inside team projects, as well as summer and winter corporate parties for the entire company
● Office or remote or mixed types of work are welcome — upon employee’s convenience and by approval of direct manager
● Free English classes in the office
● Convenient office location in the center.

About Customertimes

Customertimes is a global IT consulting company headquartered in New York City with offices in 11 countries. We specialize in the development and implementation of cutting-edge technology solutions for business transformation.

Our international team includes 1600+ skilled professionals. We have more than 15 years of experience in the Salesforce ecosystem, and our portfolio includes 4000+ completed projects in more than 65 countries.

Customertimes works with major corporations throughout Europe and North America, including industry leaders in healthcare, life sciences, CPG, manufacturing, financial services, education, and the non-profit sector. Our clients include companies such as IQVIA, UPSA, L’Oreal, Dyson, Philips, Sharp, and Danone.

Company website:
https://customertimes.com/careers/

DOU company page:
https://jobs.dou.ua/companies/customertimes/