Drive your career as React Developer with Symphony Solutions!
SoftServe is the largest Ukrainian IT company, a team of 8000+ thinkers and makers, true professionals and good people. We like what we do and do it well. For us, that means a lot.
27 ноября 2019

Machine Learning Architect (ID 39764) (вакансия неактивна)

Киев, Харьков, Львов, Днепр, Ивано-Франковск, Ровно, Черновцы

SoftServe is transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science and experience design. We are of the best and oldest Data Science teams in Ukraine and you will get tons of experience working with the best talents in the field.
This position is open in a Data Science Center of Excellence and you will have a chance to contribute to the wide range of projects from different areas and technologies. We’re looking for you, a person who is inspired by data, analytics, and AI as we do, and who wants to grow with us!
We are looking for a specialist, who will help our client with building scalable and reusable ML pipelines. Your primary focus will be to help a team of Data Scientists to establish proper development processes and to build a reusable platform for current and future tasks. As part of your daily routine, you’ll be responsible for pipelines architecture, communication with stakeholders, requirements assessment and guiding team members without an engineering background.

• A Candidate strongly competent in Machine Learning, Data Engineering, Software Development and Big Data
• The one with working knowledge of Google Cloud Platform services, which is essential
• Demonstrating hands-on experience with ML lifecycle platforms, software containers and common data science stack
• A ML Architect expected to have good management skills and product-oriented mindset
A perfect fit has
• MS/PhD degree in computer science or related
• 4+ years of relevant experience
• Good understanding of SDLC
• Proficiency in SOLID and Systems Architecture design approaches
• Hands-on experience with machine learning operationalization/productionalization
• Expertise of Google Cloud Platform
• Working knowledge of ML algorithms, understanding of Deep Learning
• Hands-on experience with Python/R data science stack is required, Scala would be a plus
• Working knowledge of Docker and Kubernetes
• Practice with Kubeflow or similar (MLFlow, Michelangelo, etc.)
• Good understanding of data storage principles: RDBMS, NoSQL/Big Data, graph databases, timeseries databases
• Experience with streaming data processing and messaging
• Background of Large Scale Data Mining and Analytics
• Experience with Hadoop and Spark ecosystems
• Good understanding of computer networks, REST and microservices
• Upper-Intermediate English level or higher
• Excellent organizational and time and self-management skills
• Awesome coaching and supervisory skills
• Superior presentation, communication and interpersonal skills
• Accomplished estimation and people motivation skills
• Ability to talk both technical language and the language of business stakeholders
• Ability to recognize Data Mining/Machine Learning and software patterns and solutions associated with those patterns
• Team playing, result orientated skills and product and client-oriented mindset

• Communication with stakeholders on business goals
• Requirement garthering and assessment
• Design of scalable and reusable machine learning pipelines on GCP
• Establishment a proper development process and cross-team communication
• Analyzing and optimizing existing code, if necessary
• Working on ML models and data preprocessing
• Support teammates without an engineering background
• Conducting workshops on proper software development and ml operationalization practices

• Coordinate remote distributed team
• Have friendly and mature team
• Be able to offer and implement own solutions
• Have flexible working schedule

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