Data Scientist

Cognizant

Location

Pune | India

Job description

Job Description

Job Descriptions

Exp- 10 to 16 years

Location: Coimbatore or Kochi

AI Architect:( Azure/AWS/GCP/Watson ) - Cloud AI Lead (AI&A - Data Science)

The successful candidate will be responsible for leading the practice's ambitious growth initiative with our most strategic cloud partner - Microsoft Azure or Amazon Web Services or Google Cloud Platform or IBM Cloud. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Principal Responsibilities

- Lead solution architecture for new business development and drive end-to-end implementation and deployment.

. RFPs: Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on cloud AIaaS.

- Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.

- Independently lead client design workshops and provide tradeoffs and recommendations

- Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

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

Job Descriptions

AI Architect:( Azure/AWS/GCP/Watson ) - (M/SM/AD Level) - reports into Cloud AI Lead (AI&A - Data Science)