Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : BE
Project Role :
AI Platform Engineer
Project Role Description :
Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have Skills :
Machine Learning
Good to Have Skills :
No Technology Specialization
Job Requirements :
Key Responsibilities :
1 Convert a business problem into a data driven ML solution 2 Develop,Manage,architect ML and advanced analytics models 3 Examine data from multiple sources and share insights 4 Act as Subject Matter Expert in area of data science 5 Experiment design,evaluation,creation and analysis of dashboards/reports and evaluation,defining metrics 6 Product Leadership:influencing product teams through presentation of data-based recommendations,communicating state of business,experiment results
Technical Experience :
1 End to end knowledge of Life Cycle of ML Model 2 Use of Python as Data Science tool kit 3 Strong Programming skill in Python for Data ETL activities 4 Expertise in Python to deploy ML and Advanced analytics models 5 Ability to derive insights from analytical and ML models 6 Knowledge of Statistics: hypothesis testing,regression 7 Data Infrastructure:Hadoop and Hive,MySQL,Oracle,Vertica and automating analyses and authoring pipelines via SQL 8 Hands on experience in Python and PySpark
Professional Attributes :
1 Good in Team Handling 2 Good in verbal, Written communication
Educational Qualification:
BE
Additional Info :
BE
Equal Employment Opportunity Statement
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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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