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Data Engineer
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Data Scientists
2 months ago
Provide AI softwareengineering knowledge and technical expertise to deliver
unique software and applications.
Productionalizestateoftheart research into maintainable and wellengineeredAI
software.
Improve AI/Machine learningmodels by conducting experiments and analyzing
resultsto address business requirements.
Coordinate withvarious teams to solve problems efficiently andeffectively.
Collaborate with other engineers andscientists on projects and ideas.
Mentor freshers andinterns.
Qualification Requirements:
Educational:
Bachelor's degree with at least 7years of experience or Master's with at least 4
years of experience. The final year project must involve the use ofdeep learning.
Must have a Computer Science Data ScienceMachine Learning or Computer
Engineering degree from atier1 institute (IIT/IISc if studied in India) or aUniversity
of top world ranking (as per QS).
Technical:
Industrial experience must be in AI/MLprojects.
Exceptional Python programmingskills.
Proficiency in deep learning frameworks such asTensorFlow / PyTorch. Familiarity withtraining productionlevel deep learning models such asFeed
Forward neural networks CNN LSTM GANs Transformersetc.
Experience deploying efficient and optimized MLmodels with tensorrt onnx or
triton inference serverframeworks with fast APIs.
Prior experience in buildingpredictive models on large amounts of tabular data or
demonstrated experience in successfully solving ML problems ineither NLP or CV.
Experience with Snowflake andDatabricks is a plus.
A high level of attention todetail and the ability to produce accurate andconsistent
engineering documentation.
Container Technologies: Kubernetes Docker.
Expertise inany one cloud platform: AWS Azure GCP.
Other:
Strong written and verbal communication skills in English are amust.
A desire to contribute to and maintain the companyvalues and culture.
Demonstrated experience workingcollaboratively in crossfunctional teams.
Strategicthinking with the ability to work independently and in a groupunder tight
deadlines
