ML Engineer (SageMaker) - AWS Consulting Partner - Washington, DC - $140,000+
Our customer, a national AWS Advanced consulting firm, is actively expanding its AWS practice and are seeking highly motivated, energetic, and polished professionals to join in the ranks! We are looking for the top technical talent in the AWS network with a drive for providing only the best customer solutions.
This Machine Learning Engineer role will be involved in all phases of work related to the visioning, developing/proving out, and deployment of cognitive and machine learning techniques to address use cases aimed at improving efficiency and reducing costs. This position will also be responsible for taking on new initiatives to design, build, and deploy high-performance deep learning models in a rapidly-scaling environment.
In order to be considered for this role, you will need to demonstrate experience with the following:
* Machine Learning Technologies (Amazon SageMaker, Databricks)
* Use of statistical analytics
* Python and/or R Scripting
* Implement, configure and test machine learning and deep learning libraries and platforms (e.g., fast.ai, TensorFlow, Keras, XGBoost, LightGBM)
* Container tooling and microservice architecture planning with Docker, Kubernetes, Mesos, etc
* Design how data is stored, consumed and ingested
* Knowledge of AWS Analytics (EMR, Redshift, EC2)
* Bachelor's degree in Engineering, Computer Science, or related field
* Professional communication and presentation skills and experience
* AWS certifications
* Previous Partner consulting experience
* Unlimited PTO!
* 15% Bonus
* Health, Dental, and Vision Plan
* Travel Reimbursements
* Certification & Professional Development Reimbursements
* Leadership track provided within your first 6-12 months
If you are interested in this opportunity, please submit your resume to this response and e-mail email@example.com.
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Jefferson Frank is acting as an Employment Agency in relation to this vacancy.