Machine Learning Architect (AWS)
SoftServe
Gliwice, Poland
2 d. temu

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

An AWS Cloud ML Architect who is interested in building and delivering AI / MLpowered 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 a good understanding of ML product teams' collaboration models.

A candidate should demonstrate such experience and abilities as

  • MS degree in computer science or related field
  • 5+ years of relevant experience including 2+ years of design and implementation of enterprise-scale AI / ML solutions in AWS cloud using services such as Sagemaker, Glue, Data Pipelines, AWS Batch, Kinesis, Athena, Redshift
  • 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 experience in ML operationalization with Sagemaker platform
  • Driving projects roll-outs from requirements gathering to go-live
  • EKS / ECS platforms and their design patterns
  • Strong requirements gathering and estimation
  • Upper-Intermediate English level or higher
  • Your extra power is having a certification / experience in

  • Relevant AWS Cloud Architecture certification
  • Pre-sales or enterprise consulting
  • Building solutions with Kubeflow, MLflow, or similar
  • EMR and Databricks on AWS
  • Cloud Formation and AWS Service Catalog
  • Workflow orchestration platforms such as Step Functions and Airflow
  • Designing and building feature stores
  • Message queues and streaming platforms
  • YOU WANT TO

  • Bring your deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics
  • Develop end-to-end (Data / Dev / MLOps) pipelines on AWS based on the in-depth understanding of the platform, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Prototype and demonstrate solutions for clients in customer environments
  • Use your judgment to craft solutions to complex problems or seek guidance as needed
  • Develop assets, accelerators, and thought capital for your practice
  • Stay updated on new products that clients could use
  • Communicate use cases, requirements, and expectations with stakeholders
  • Guide Engineering and Data Science teams on ML systems production lifecycle
  • Guide Data Science teams on model operationalization strategies
  • Educate 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
  • Zgłoś tę pracę
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