Job Description
- Collaborate closely with clients and Team Leads to precisely define technical requirements and expectations, particularly focusing on NLP and LLM technologies
- Lead the charge in translating complex business issues into clear, actionable NLP and LLM hypotheses and solutions
- Develop and implement cutting-edge NLP techniques and LLM frameworks (e.g., BERT, GPT, RAG) to analyze, generate, and interpret extensive natural language datasets
- Integrate classical machine learning methodologies, including statistical analysis, clustering, classification, and recommendation engines, into NLP solutions to enhance model performance and insights
- Manage the full lifecycle of NLP and LLM solutions, from data collection and preprocessing to model training, deployment, and maintenance
- Ensure seamless deployment of NLP and LLM models into production environments, maintaining scalability and performance
- Communicate complex NLP and LLM insights and model outcomes to stakeholders, effectively bridging technical solutions with business strategies
- Actively participate in the evaluation of new tools for analytical data engineering or data science
Qualifications
- Profound expertise in NLP and familiarity with LLMs, backed by solid experience in Python
- Demonstrated ability to deploy NLP models to address real-world challenges, with a strong foundation in classical ML techniques and various data sources
- Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to articulate model outcomes and insights effectively
- A robust portfolio of projects showcasing the application of NLP and classical ML techniques to derive actionable insights from diverse data sources
- Continuous learner, keen on staying updated with the latest in NLP, and LLM advancements
- English proficiency: Confident Intermediate level or higher (both written and spoken)
WOULD BE A PLUS:
- AWS/Azure general understanding and experience
- Upper-Intermediate level of English
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