Architect - AI, Deep Learning

Job description

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.