- Use statisticaltechniques and machine learning methods to drive datadrivensolutions.
- Collect clean and preprocess datafrom various sources.
- Develop predictive modelsand algorithms to solve complex businessproblems.
- Create data visualizations tocommunicate findings tostakeholders.
- Collaborate with crossfunctionalteams to identify opportunities for leveraging company data todrive business solutions.
- Conduct adhocanalysis and present results in a clearmanner.
- Utilize big data tools and technologiesfor data processing and analysis.
- Enhance datacollection procedures to include information relevant for buildinganalytical systems.
- Identify valuable datasources and automate collectionprocesses.
- Build and maintain data pipelinesfor efficient data extraction andprocessing.
- Contribute to the development ofbest practices for data science at theorganization.
- Stay updated with the latesttechnology trends in data science and apply them to operationalprocesses.
- Assess the effectiveness andaccuracy of new data sources and data gatheringtechniques.
- Provide expert advice andrecommendations on data analysis methods andtechniques.
- Generalimprovements support for theapplication:
- Windowsand Linux servicesupport.
- GPU andCPU codesupport.
- Supportfor standard CUDA librarybuild.
- Ability tohandle multiple services per machine with a preference for GPUactivation only whenneeded.
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Data Scientist - Sany, India - CGVAK Software AND Exports Limited
Description
Overview:
The DataScientist plays a crucial role in our organization employingadvanced analytical techniques to mine analyze and interpret largedata sets. They are responsible for developing models utilizingdata visualization tools and creating algorithms to providevaluable insights across various businessfunctions.KeyResponsibilities:
RequiredQualifications:
Fake & DamageRecognition1.python2. Pytorch ortensorflow3. Segmentation and Detectionmodels UNet Yolo SAM alike models andalgos4. Some knowledge of LLM(Large LanguageModels)5. Software engineering / ModelDeployment
machinelearning,python,datascience,pytorch,tensorflow