Senior AI Engineer
TxMinds
Date: 2 weeks ago
City: Remote
Contract type: Full time
Remote
Job Description: –
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- Understand the workflow and pipeline architectures of ML and deep learning workloads
- Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
- Hands-on programming skills 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 Dialog flow) – 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
- Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes· Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100.
- 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 – Active Directory – Authentication, Authorization· Web app and services – Micro services, Azure functions, Logic apps, API management- Ability to compare and contrast across technologies in any layer objectively with evaluation criteria and considerations
- Excellent communication skills, preparing PowerPoint presentations, executive readouts
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