Extremely data-driven and process-guided in every company’s activity
BUILD the Virtual Assistant Core
Define and track key success metrics for the AI Platforms (e.g Task Success Rate)
Work as a core member of Platform team with PM, Designer, Engineers to complete every milestone timely
Engage directly on all aspects of building the platform – including infrastructure (Compute, Storage, Networking), data ingestion (batch and streaming), ETL, AI libraries, inference engine, offline training pipeline, orchestration, operation and optimization.
Guide the junior when possible on how to do literature review, research, evaluation and implement AI models
SOLVE the right AI problems
Your Skills and Experience
Have 2+ years of hands-on industry experience in NLP and preferred experience with NLU
Prior experience in any of RASA, Azure chatbot, DialogFlow or Amazon Lex
Strong programming skills in Python or R
Strong understanding of data structures, algorithms in AI/ML.
Extensive experience in at least one deep learning framework: PyTorch, TensorFlow or Keras.
Strong research capabilities
Hands-on experience in AI/ML model building, tuning and deploying.
Familiar with API Design & Development using REST and GraphQL
Excellent debugging and problem solving skills
Familiar with Lean, Agile and Scrum working models
Plus point if having experience and knowledge in Blockchain, Kubeflow, Knowledge Graph and Data Analytics
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