Natural Language Processing Data Scientist
Natural Language Processing Data Scientist
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Job Description
Role:
This role is for the AI team that is responsible for building Natural Language Processing (NLP) Solutions for Advanced Products.
What you will do:
Responsible for Data Analysis and building AI/ML solutions.
Design develop and deploy stateoftheart NLP models including sentiment analysis language translation chatbots text summarization and entity recognition.
Oversee the collection and preprocessing of textual data ensuring data quality and relevance for NLP tasks.
Innovate keep abreast of industry trends and competition grasping new LLM architectures and technologies.
Resolve ambiguous and complex business problems/asks into simple technical systems that can be worked by the team.
Responsible for quick POCs to evaluate the NLP solution before productionizing.
Design develop and deploy advanced NLP models including but not limited to Word2Vec deep learning LLM and natural language processing (NLP) models.
Ensure models are scalable maintainable and align with the organizations goals.
Lead and mentor a team of data scientists providing guidance on best practices methodologies and innovative solutions.
What will you have:
Candidate should have 7 years of industry experience with at least 5 years of experience as a Data Scientist.
Bachelors or masters degree in computer science data science artificial intelligence or a related field.
Experience in building real world AI solutions/products.
Strong programming skills in languages like Python.
Proficiency in NLP frameworks and libraries such as spaCy NLTK Transformers (Hugging Face) and deep learning techniques for text analysis.
Strong understanding of NER POS tagging tokenization stemming lemmatization and other text preprocessing techniques.
Solid understanding of linear algebra calculus and statistics which are foundational to machine learning.
Experience in developing microservices and containerized application.
Competence to work Independently and able understand and suggest Model Architectural changes based on the cost implications of the cloud infrastructure.
Highly motivated able to work proficiently both independently and in a team environment.
Experience with Azure and AWS ML services is preferred.
Effective communication of ideas and information both verbally and design documents where necessary.
Experience with source control management systems (GitHub) and continuous integration/deployment environments.
Should be able to mentor/drive junior team members to achieve desired outcome.
Employment Type
Full Time
Company Industry
Key Skills
- Active Directory
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- Clearance
- LAN
- Database Development
- Electronic Discovery
- Peripheral Equipment
- Windows
- QC
- Software Managements
- Data Files
- RAN
- Backup
- Data Processing
- Setup
