Machine Learning Solutions Architect

August 22

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Mission Cloud

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Mission Cloud Services is an AWS Premier Tier Services Partner and Cloud Managed Services Provider.

Managed DevOps • Serverless Consulting • Continuous Engagement • Windows Migration Expertise • Containers Consulting

201 - 500

Description

• Facilitate design sessions with clients and Mission Cloud team to create the strategy, architecture, and implementation plan for data engineering projects • Build and implement technical roadmaps in collaboration with AI Solution Architects and Project Managers that are in alignment with customer goals and objectives • Communicate the proposed solution to clients so they understand the benefits, translating the technical elements into business language • Develop strategic roadmaps and project plans based on customer goals • Work with Machine Learning Engineers and Architects to break down complex development plans into LOE estimates, design documents and project plans • Implementation of customer roadmaps in coordination with Machine Learning Engineers; ensure project tasks are completed on time, high quality, and progress toward the project goals • Document customer technical solutions that have been implemented in alignment with Mission standards • Create workload orchestration using common tools like Jenkins, Airflow and MLFlow • Be the technical liaison between customers and engineering teams; communicate complex technical concepts in easy-to-understand non-technical language • Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines • Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects • Be an escalation point for high-level technical and client issues • Mentor Machine Learning Engineers and more junior consultants • Support Data Science & Engineering process improvement initiatives • Support Data Science & Engineering recruiting efforts by participating on interview panels

Requirements

• Proven experience designing and implementing creative ML solutions leveraging the latest in Machine Learning frameworks, especially from AWS • Experience in database architectures and data pipeline development • MLFlow or Sagemaker MLOps experience • Experience working with Loading, extracting data from Glue, SQL, DDL, DML commands • Working knowledge of AWS data solutions like RedShift, RDS, Glue, Quicksight, S3 etc. • Ability to handle unstructured, semi-structured data, working in a data lake environment • Experience in database architectures and data/MLOps pipeline development • Python or R experience • Ability to lead projects, train, and mentor more junior team members • Ability to work with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments • AWS Data Analytics Specialty Certification (required within 6 months of hire) • AWS Solution Architect - Associate Certification (required within 6 months of hire) • Additional AWS Specialty Certification within the Data Analytics, Development or Machine learning space (required within 1 year of hire) • Demonstrated knowledge of software development tools and methodologies • Ability to architect a solution using the broader AWS ecosystem including VPC, IAM and Lambda functions

Benefits

• Access to health, vision and dental insurance with options 100% covered by Mission Cloud for employee and their dependents • Flexible Spending Accounts (Healthcare & Dependent Care) • Generous Paid Time Off (FlexPTO, parental leave, volunteering time off) • Reproductive health benefits • Pet insurance • 401k matching program • Life insurance paid by Mission Cloud • Monthly flex stipend • Monthly cell phone stipend • Home office expense benefit • An internal department dedicated to helping team members on their career path • Inclusive work environment with several Employee Resource Groups