NLP Architect @ ValueLabs

Job Description

NLP Architect

Expires on: 20211130
Job Code: VL/UT/1406/D/405
Experience: 5+ Years
Location:

· Experience with MLOps / productionizing NLP models into production is preferred. Python, Sklearn, BERT, ML models, Deep Learning on NLP. • AWS knowledge, Kafka, MLOps

Responsibilities
• Designing and developing NLP applications • Using effective text representation techniques and classification algorithms • Training and evaluating models • Have depth of knowledge of specified technological area, which includes knowledge of applicable processes, methodologies, standards, products and frameworks • Responsible for defining and documenting architecture, capturing, and documenting non-functional (architectural) requirements • Should provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues • Responsible for implementing search solutions that combine powerful indexing technology with advanced Natural Language Processing (NLP) capabilities and machine learning algorithms to build an increasingly deep corpus of knowledge from which to feed relevant information
Requirements
• Designing and developing NLP applications • Using effective text representation techniques and classification algorithms • Training and evaluating models • Have depth of knowledge of specified technological area, which includes knowledge of applicable processes, methodologies, standards, products and frameworks • Responsible for defining and documenting architecture, capturing, and documenting non-functional (architectural) requirements • Should provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues • Responsible for implementing search solutions that combine powerful indexing technology with advanced Natural Language Processing (NLP) capabilities and machine learning algorithms to build an increasingly deep corpus of knowledge from which to feed relevant information
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