Machine Learning Engineer
If you want to know about the requirements for this role, read on for all the relevant information.
D.C. Area
About the Position
As amember of our Engineering team,youwill work with a tight, highly skilled machine learning / data scienceteam dedicated to the development ofproprietary consumer insights.
You will beworking closely with our Data Scientists,implementinghighly available and scalable machine learningpipelines.
If you are aSoftware Engineer passionate for technology who wants towork with a mature,intensely skilled team, values total ownership of your work, and can't imagine a day without coding, we want to speak to you! We're looking for a creative, focused,collaborative,technically curious individual who enjoys both design as well as working hands-on with the code.
If you are interested in working on cutting edge Client and AI projects atInternet scale and speed this is the job for you!
Key Responsibilities
- Design and implement Client featurepipelines
- Optimize pipelines and processes for model development, experimentation and scaled productionscoring
- Implement machine learning algorithms and libraries in service to modeling and production scoringpipelines
- Monitor and ensure the quality of machine learningsolutionsby implementingprocessand control disciplinesas well astoolingtogovern
- Analyze large and complex data sets to derive valuable insights, inform feature and productdevelopment
- Apply machine learning and data science techniques and design distributedsystems
Qualifications & Experience Requirements
- StrongSoftware Engineering background with emphasis in datascience andmachinelearning
- Fluent in Java, Python, and / or Scala programming languages
- Strong communication skills including the ability to describe complex models and findings to different audiences and stakeholders, fromdatascience peers to business decision-makers
- Demonstrated exploratory analysis and visualization abilities in a non-academicsettings
- Strong bias for action and ability to pivot quickly and act with agility according to the needs of thebusiness
- Working knowledge of machine learning frameworks and the data and computation management mechanisms that surround them in a cloudenvironment(AWS)
- Experience designing, implementing, and transitioning to AI / Clientcloud basedframeworks such as AmazonSageMaker
- Experience implementing quality and controldisciplinesfor Machine Learningpipelinesthrough process andtooling
- Ability to handle multiple projects simultaneously, meet deadlines, and effectively manage priorities and communicateprogress
- Fluent in Linux based systems, Docker,and code versioning tooling (Git / CI / CD)
- Computer Science or equivalent degree and work experience
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