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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Overall 4- 5 years of working experience with hands- on 2 years experience as a CUDA developerInnoplexus offers Data as a Service and Continuous Analytics as a Service, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.Our products leverage proprietary algorithms and patent pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real time intelligence & intuitive insights, across the life cycle of the products. We automate the collection, curation, aggregation, analysis, & visualization, of billions of data points from thousands of data sources using domain- specific language processing, ontologies, computer vision, machine learning, network analysis, and other AI technologies. You are the right person in our team if: Maintain our leadership in deep learning by being the first to port cutting- edge Sentiment Analysis/ deep learning/ machine learning models/ others onto DGXs Conversion of existing CPU based models to GPU accelerated models Research and development on GPU based Databases like MapD Optimization of existing computer vision application using GPU profilers Own the full flow of very challenging data problems starting with data discovery/ collection/ cleaning through the production implementation of resilient models that can perform using noisy real- world data, owning the deliverables and managing the priorities/ timelines To excel in this job you must bring, Experience with machine learning software platforms that leverage GPGPU compute such as TensorFlow, Pytorch, KERAS, etc. is an added advantage Experience with NVIDIA System Profiler, Nsight Compute, NVIDIA RAPIDS Hands on experience with CUDA- X (CUDA v10), a collection of GPU- accelerated libraries built on CUDA, to provide the fastest path to accelerate a wide range of HPC applications through highly- optimized drop- in functions Experience in a directive- based programming model like OpenACC designed to help scientists and researchers accelerate their codes with significantly less programming effort than required with a low- level model Understanding Intel processor architecture and parallel programming Understanding of NVLink A proven track record of successfully implementing deep learning and machine learning models on real- world structured and unstructured data is a definite plus Experience with GPU database (like MapD) will consider as a plus B. E/ B.Tech or Any Graduation (IT) We believe in the power of collaboration. You will work alongside creative thinkers and can grow with your team and turn great ideas into reality. We support you to develop your skill with training courses, knowledge sharing and learn while you work.,
Keyskills :
knowledge sharingnetwork analysisdeep learningunstructured datamachine learning