DATA SCIENTIST

Technical Qualifications

-             Hands-on programming skill on at least one language – C#.net or node.js or python.

-             Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:

·       Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialogflow/ IBM Watson) – for personalized and humanized interaction with end user for complex business cases

·       Natural Language Processing model - design, training and publishing for multiple languages

·       Emotion and Sentiment Analytics

·       Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.

·       Computer vision - OCR, Face Recognition, Custom model for Object detection and classifications

·       Document/Form Entity Extraction

·       Cognitive Search on heterogeneous unstructured data

·       Enterprise Channel Integration for AI through Direct line

·       Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes

·       Microsoft/ AWS/ GCP/ IBM Watson certifications on AI & Data Science (e.g. AI 102, DP 100).

-          Holistic knowledge of Solution Architecture, including “Data Analytics”, “Security”, “Dev Ops” & “ML Ops”:

·       Enterprise cloud Data repository –Cloud Storage, NoSQL DB, Graph DB, Data Lake

·       Data Ingestion, Transformation, Analytics – Real-time and batches

·       Enterprise Security for AI/ML - Azure Active Directory - Authentication, Authorization

·       Web app and services – Micro services, Azure functions, Logic apps, API management

·       DevOps CI/CD pipeline on Cloud  –  “Github for Enterprise”

-             (Optional) Exposure to “Deep Learning” frameworks like TensorFlow, PyTorch, CNTK, Keras, Open CV.

-             (Optional) Understanding of Natural Language Processing models like NLTK, SPACY, BERT, ERNIE.

-             (Optional) Exposure to IOT & AI Analytics with Azure IOT Edge or AWS Green grass.

-             Ability to compare and contrast across technologies in any layer objectively with evaluation criteria and considerations

-             Excellent communication skills, preparing PowerPoint presentations, executive readouts