EY PI_R&D Labs_ArtificialIntelligence_Senior1 in Trivandrum, India
Requisition # TVM00078
Post Date Jan 08, 2019
- A highly skilled AI/Machine Learning Engineer to develop/assist in creating solutions/ POCs/POVs in different sectors while working with an innovative R&D focussed team. Build and deploy creative new automation and machine learning algorithm for advanced text, voice, data analytics, knowledge graph creation.
Develop technical and functional solutions for business ideas & concepts.
Analyse emerging technology, market trends and their potential impacts in AI/ML domain.
Understand workflows of various industries and propose suitable solutions and study relevant emerging technology applicability in those domains.
Support the business solutioning to develop use cases into demonstrable prototypes/solutions leveraging the technology.
Develop architectures, processes, products and methodologies to support proof of concept checks using relevant technology for various industry use cases.
Collaborate with management in development and enhancement of knowledge nuggets and thought pieces, methodologies & frameworks, and capability decks.
Support in creating an internal and external ecosystem to support innovation i.e. experts, academicians and workshops, advanced labs etc.
Understand client's existing processes and the desired business goals , identify the gap and help define the requirements to achieve the end business goals
Ability to articulate technical issues to a non-technical audience
Present effectively to a variety of audience across the consulting value chain
Willing to travel to the customers locations on need basis
Expert in Computer Vision algorithms and Image/text/voice Processing.
Experience in Image Reconstruction, 2d/3d Image Stitching etc.
Platforms : Open CV/ Caffe/ TensorFlow
Excellent customer service skills. Excellent written and verbal communication skills
BE/B.Tech/ME/M.Tech/PhD with/without industry experience with particular focus on the following:
In Memory Processing
Simulation and Optimization
Visualization techniques and tools
Big Data Architectures
Strong technical skills in analytical approaches and tools as well as its associated data environments such as:
SPSS, SAS, Mathlab, KNIME etc.
R, Python etc.
Hadoop, Hortonworks, Cloudera, IBM Big Insights etc.
Mapreduce, Spark, Mahout etc.
SQL/noSQL Databases and its manipulation components
PhD in Machine Learning or other related topics.
Ability to present effectively to a variety of audience across the consulting value chain
Experience with agile methodology