Computer Vision Expert- BLR/HYD/GGN - Hyderabad, India - Genpact

    Genpact
    Genpact background
    Description

    Inviting applications for the role of a Manager / Senior Manager - Computer Vision Expert

    Interested Candidates please send your CV to OR

    Location: BLR/HYD/GGN- RTO

    The candidate should be

    MS in Mathematics, Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience.

    Exposure to Machine Learning / Deep Learning & Quantitative Methods in the space of Computer Vision and Image/Video Processing is a must. Full cycle Real-world Analytics project experience is highly desirable: from creating a Business use case, PA assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management.

    Key Roles and Responsibilities

    The Deep Learning / Computer Vision Expert is expected to play a pivotal role in building and executing end to end solutions such as image classification, object detection and tracking. At a broad level, the expert shall leverage his/her solutioning skills to translate the customer's business need into a techno-analytic problem and appropriately leverage technology to bring large scale analytic solutions to fruition. The key responsibilities of the Computer Vision expert are:

    • Project Lead - Lead the project, set expectations with the client/stakeholders and successful execution of the project
    • Project Blue Printing and Project Documentation
    • Creating Project Plan
    • Provide Strategic Onsite Consulting & Solutioning to customers/Genpact during their Analytics adoption journey
    • Collaborate with software engineering and product teams to handle requirements from stakeholders
    • Handle different image and video content to be used in training complex Deep Learning solution to meet client expectations.
    • Deep understanding of setting up and using GPU based infrastructure
    • Work in conjunction with Presales / BD teams, your program manager, and other stakeholders towards spotting and converting short cycle mining opportunities that may arise from time to time.
    • Participate in SME reviews of Predictive Analytics opportunities/ engagements for Computer Vision
    • Actively collaborate with competency leaders in Big Data, OR, BI areas to stich big ticket solutions with end-to-end span.
    • Jump-start Machine Learning projects with customer with focus on providing disruptive insights in reasonable timeframes

    Required and Preferred Skills

    Specific Competencies – Essential

    Technology

    • Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS
    • Very good Python and C/C++ programming skills. Java/R programming skills a plus
    • Direct involvement in working with large volumes of data and building, deploying and measuring predictive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression)
    • Deep learning frameworks such as TensorFlow, Keras, Torch, Theano
    • Extensive work experience in Computer Vision or Image / Video Analytics
    • Linux, GPU Experience (CUDA, OpenCL, DirectCompute)
    • Computer vision APIs (OpenCV , OpenVX)

    Methodology

    • Analytic Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering analytics on large structured and unstructured data corpuses.
    • Solid knowledge of concepts in Deep Learning /Machine Learning, Statistics, esp., in their application related to Computer Vision.
    • Proven expertise in Quantitative modeling for Marketing Insights and Solid understanding of Consumer behavior theories and models.
    • Proven expertise in deriving insights from large distributed databases.
    • Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client's analytics agenda with newer tools and techniques

    Specific Competencies – Desirable

    Technology

    • Understanding of GraphDB and tools such as Neo4j etc.
    • Understanding of NLP, NLU methods
    • SQL/NoSQL, MS Access, databases
    • UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3
    • Spark, Scala for distributed computing

    Methodology

    • Previous experience with Big Data analytics implementations, using either Vanilla Hadoop or Cloudera/IBM BigInsights
    • Ability to Prioritize, Consultative mindset & Time management skills
    • Understanding/experience with the Google Cloud Platform/AWS/Azure and other Big Data solutions such as Cloudera is preferred