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AWS Cloud Engineer

4 months ago

Boston, United States Eliassen Group Full time
Job DescriptionJob Description**Must be local to Boston, MA to be considered for this role.**

Our financial services client is looking for an AWS Cloud Engineer to join their team.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Pay Rate: $75.00 - $80.00/hr on W2

Skills, experience, and other compensable factors will be taken into account when determining pay rate. The pay range provided in this posting is a reflection of a W2 hourly rate; other employment options may be available that may result in pay outside of the provided pay range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

Responsibilities of the AWS Cloud Engineer:
  • Design & develop a feature generation & store framework that promotes sharing of data/features among different ML models
  • Partner with Data Scientists and to help use the foundational platform upon which models can be built and trained
  • Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers)
  • Build tools to help detect shifts in data/features used by ML models
  • Help to identify issues in advance of deteriorating prediction quality
  • Monitor the uncertainty of model outputs
  • Automate prediction explanation for model diagnostics
  • Explore new technology trends and leverage them to simplify our data and ML ecosystem
  • Drive Innovation and implementing solutions with future thinking
  • Guide teams to improve development agility and productivity
  • Resolve technical roadblocks and mitigating potential risks
  • Deliver system automation by setting up continuous integration/continuous delivery pipelines
Requirements of the AWS Cloud Engineer:
  • A Bachelor's degree in Computer Science or related field and at least 5 years of experience in implementing Big data solutions in data analytics space
  • Extensive experience working with machine learning models (deployment, inference, tuning, and measurement)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Experience in Object Oriented Programming, SQL, Unix scripting or related programming languages
  • Experience in building cloud native applications using AWS services
  • Experience with building data pipelines
  • Experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Experience with CI/CD tools, version control, orchestration/DAGs tools
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Exposure to some of Python’s ML ecosystem (Numpy, Panda, Sklearn, Tensorflow, etc.)
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.

Job ID: 383255

About Eliassen Group:

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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