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•Design and implement reliably distributed data pipelines
•Implement scalable architectures of machine learning prototype solutions geared towards solving natural language processing, knowledge representation, and natural language generation problems
•Create parallelized and/or distributed versions of existing algorithms
•Maintain and develop existing machine learning models
•Collaborate with research scientists, architects and product management to design and program innovative strategic and tactical solutions that meet market needs with respect to functionality, performance, reliability, realistic implementation schedules, and adherence to development goals and principles
•Gather and determine requirements for new features from internal colleagues
•Experience with architecting data-intensive applications
•Experience writing software in Python, Scala and/or Java. Experience working with data structures, algorithms and software design
•Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume)
•Experience with test-driven development
•Experience working effectively with software engineering teams
•Mentor others in achieving their career growth potential
Required Education and Experience Level
•At least 5 years of engineering experience with Java/Scala/Python
•At least 2 years of distributed or highly threaded software development experience
Building Long distributed Data Pipelines
- Machine learning
- Elastic Map Reduce or Spark
- AWS Lambda
- Distributed workflow Programs
2-3 years of Experience
Data Intensive Applications
Orchestration AWS step functions
Are you available? Please send your most current resume to firstname.lastname@example.org
Please reference JO #AS14739
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