Machine Learning Architect Offline
WE ARE
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 one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.
In a Data Science Center of Excellence, you will have a chance to contribute to a wide range of projects in different areas and technologies. We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!
YOU ARE
A Machine Learning Architect interested in building and delivering AI/ML-powered solutions. You will help us design and implement ML and data pipelines, solution infrastructure, and lead product teams.
You should be strongly competent in Machine Learning/Deep Learning models and model lifecycle, have a solid knowledge of DevOps/MLOps principles and solution architecture, and understand the ML product team's collaboration model.
A candidate should demonstrate such experience and abilities as:
• MS degree in computer science or related field
• 5+ years of relevant background including 2+ years of design and implementation of enterprise-scale AI/ML solutions in AWS, GCP, or Azure clouds
• Designing sustainable architectures, performing trade-off analysis of different architecture tactics and patterns, and applying proven architecture design approaches and methodologies
• Customer-facing experience of discovery, assessment, execution, and operations
• Hands-on expertise in ML operationalization
• Driving projects roll-outs from requirements gathering to go-live
• Kubernetes platform and its design patterns
• Strong requirements gathering and estimation
• Upper-Intermediate English level or higher
Your extra power reveals in the following experience:
• Relevant Cloud Architecture certification from any of the three major cloud platforms (AWS/Azure/GCP)
• Pre-sales or enterprise consulting
• Building solutions with Kubeflow, MLflow, or similar
• Hadoop ecosystem and Databricks
• Workflow orchestration platforms like Airflow
• Designing and building feature stores
• Message queues and streaming platforms
YOU WANT TO WORK WITH
• Bringing your deep expertise in cloud architecture/DevOps to analyze and recommending enterprise-grade solutions for operationalizing AI/ML Analytics
• Developing end-to-end (Data/Dev/ML) Ops pipelines based on an in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
• Prototyping and demonstrate solutions for clients in customer environments
• Using your judgment to craft solutions to complex problems or seeking guidance as needed
• Developing assets, accelerators, and thought capital for your practice
Staying current on new products that clients could use
• Communicating use cases, requirements, and expectations with stakeholders
• Guiding Engineering and Data Science teams on ML systems production lifecycle
• Guiding Data Science teams on model operationalization strategies
• Educating Product teams on best practices for putting ML systems in production
TOGETHER WE WILL
• Operationalize our clients’ AI solutions by leveraging best practices in DevOps, Machine Learning, and Solution Architecture
• Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Participate in international events
• Get certifications in cutting-edge technologies
• Have the possibility to work with the latest modern tools and technologies on different projects
• Access strong educational and mentorship programs
• Communicate with the world-leading companies from our logos portfolio
• Work as a consultant on different projects with a flexible schedule