Job location: Philadelphia, PA
Job type: Permanent
JD:
As a machine learning developer & Data Analyst, you should be able suggest, prototype and deploy machine learning solutions. You should be able to expose your models as service interfaces for the application integration. You should be also be able to build data pipelines for sourcing data from desperate sources which later can be analyzed, cleaned and transformed for building intelligent systems.
Primary Requirements:
Strong and proven software development skills
Proficient in Python programming language
Should be able to build interfaces for collecting data, data extraction, transformations through Python
Should be able to work with data through SQL - Preparing data, cleanup, Aggregating, Slicing/Dicing Data
Should have worked in Python Stats, Machine learning packages - Pandas, Dataframes, Scipy, NumPy, StatsModel, Scikit packages.
· Familiarity with frameworks such as MLlib, H2O, TensorFlow or similar.
· Should have experience in working with Kafka using Python or Java API
· Should have worked with a NoSQL database. Should be able to build interfaces for serving data-in/data-out of database through API.
· Preferred to have Telecom and Billing domain knowledge
· Experience working in an Agile organization and understanding of Agile fundamentals, JIRA with CI/CD
· Excellence at formulating, understanding, and solving complex, non-routine problems
· Exposure in working with Big Data; experience with Hadoop, Kafka and Spark preferred
· Familiarity with managed cloud based options for building machine learning models
by via developer jobs - Stack Overflow
No comments:
Post a Comment