Machine Learning-AI Platform Engineer Full-time

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

Minimum

10 year(s) of experience is required

Educational Qualification :

Key Reponsibilities :

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

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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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