What are the responsibilities and job description for the AI Architect position at Scadea Solutions Inc?
Job Description
Hello,
AI Architect | Duration : 6-12 months | Location : NJ |
Key Words :
Analyze, design, develop, deployment and monitoring of complex AI ML solutions.
Should be well versed with Python, R, Analytics, AWS QuickSight, Open source models and solutions, big data, feature engineering, Elastic search, Marklogic and cloud-infra architecture.
Deep knowledge of NLP, NLU, NLG, NER, Computer Vision, Deep learning, Ontologies, Knowledge Graphs and MLOps over AWS and other clouds.
Domain knowledge of Life sciences, Pharma and R&D will be preferred.
8 - 12 years of experience.
- Lead solutioning on behalf of client , develop and improve models for business solutions and improve efficiency
- Present solutions with story telling
- Strong technology decision making skills are required
- Define and ensure deliveries adhere to non-functional requirements and schedule.
- Expert in NLP and knowledge graph solution, OCR, PDF extraction, cross language model development, experience with transformers
- Natural Language Processing, machine translation, language detection, classification and summarization with different aspects of dealing NLP like Phonology, Morphology
- Experience with conversational AI and NLQ
- Working Knowledge along with FAIR principles, explainable AI and AI on multiple clouds
- Expert in accuracy and error measurement and model improvement
- Experience working with integration/API patterns
- Knowledge of Computer Vision, Deep Learning
- Real life project experience, following Python coding standards, design explanations and collaborating with application development teams, architects, Business and customer
- Ability to discover and define functional requirements, interview experts, and transform them into technical requirements and architecture definition
- Outstanding written and verbal communication skills and effectively influence decisions and positively
- Experience with Agile Methodology, Design thinking, working with ambiguity, find own path
- Experience with NVIDIA is desirable. Explore high-performance computing options
- Always ready to learn, work on self-development and team's capability development
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