5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
Experience building APIs for the models
Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
Organized self-starter, with drive and commitment; able to work with little supervision
Strong analytical, quantitative, problem-solving, and critical thinking skills
Experience using vision and speech models in GenAI
Experience with Voice based BOT implementation.
Required Skills : AI
Basic Qualification :
Additional Skills : ML Engineer
Background Check : No
Drug Screen : No
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