Responsibilities

　　Implement techniques to acquire, discover and explore unstructured data (Text, Images, Audio, Video) for analytics. Experience with unstructured data analytics is a key requirement. POC / POV and prototyping data and analytics solutions and derive viability. Ensure data quality, integrity, security, and completeness throughout the data lifecycle.Define data validation strategies, pre-processing and feature engineering strategies.Test/train and fine tune models and deployment of models in production Work with business stakeholders to understand requirements and business use cases and translating data into metrics, KPI, and solutions. Develop deep understanding of the data sources, implement data standards, maintain data quality, and master data management. Design and develop data services and API using vision, Deep Learning frameworks.Build and meet project timelines and manage delivery commitments with proper communication to stakeholders. Collaborate and communicate with key business lines, technology partners, vendors, and architects.

　　Qualifications

　　Degree in Computer Science or Engineering or Equivalent with 8+ years of relevant experience in Computer Science/ Statistical Modelling & Analysis/Operations Research.At least 4+ years of development experience in Python and Deep Learning.2+ Years of experience in AI, ML, Deep Learning Technologies.Solid understanding of python libraries for machine learning.Good understanding of Computer Vision/Image Processing and Deep Learning tools & techniques. Skill with Microsoft Custom Vision or Roboflow platform is a plus. Previous experience in at least 2-3 Image processing use cases on object detection, tracking, classification, recognition, scene understanding using Keras/Tensorflow/PyTorch frameworks.Strong programming background and should be able to design and deliver solutions quickly. Proficient with programming languages Python, OpenCV.Past working experience on a fast paced and agile environment.Hands-on experience with MS Azure cloud.