Sparktek
Sr Data Scienttist Engineer wwith Python
Sparktek - San Jose, California, United States, 95199
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Overview
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Overview
Role: Sr Data Scientist with Strong Python
Location: Seattle/Dallas/Kansas preferred [Remote also considered]
Duration:- Long Term
JD: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. 5-10 years of professional experience in Python, NLP, AI, or Data Science roles. Hands on experience in Python 3 Libraries, UI frameworks, PHP, HTML5, AJAX, JavaScript, JQuery, JSON Experience in building Data pipelines knowledge, SQL, Time series DB knowledge (Prometheus, Influx, Open search etc.) Strong understanding of text classification, information extraction, document understanding, and sequence labeling. Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models. Proficiency in Python, TensorFlow, PyTorch, and relevant NLP libraries. Solid experience in NLP data preprocessing techniques, including tokenization, lemmatization, and vectorization. Expertise in prompt engineering techniques for improving LLM performance. Familiarity with Agentic AI concepts, enabling AI agents to make independent decisions in complex workflows. Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, GCP) and containerized deployment (Docker, Kubernetes). Experience with version control (Git), CI/CD, and software engineering best practices. Ability to analyze large-scale datasets, derive insights, and optimize NLP model performance. Excellent communication skills and ability to collaborate with cross-functional teams.
JD: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. 5-10 years of professional experience in Python, NLP, AI, or Data Science roles. Hands on experience in Python 3 Libraries, UI frameworks, PHP, HTML5, AJAX, JavaScript, JQuery, JSON Experience in building Data pipelines knowledge, SQL, Time series DB knowledge (Prometheus, Influx, Open search etc.) Strong understanding of text classification, information extraction, document understanding, and sequence labeling. Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models. Proficiency in Python, TensorFlow, PyTorch, and relevant NLP libraries. Solid experience in NLP data preprocessing techniques, including tokenization, lemmatization, and vectorization. Expertise in prompt engineering techniques for improving LLM performance. Familiarity with Agentic AI concepts, enabling AI agents to make independent decisions in complex workflows. Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, GCP) and containerized deployment (Docker, Kubernetes). Experience with version control (Git), CI/CD, and software engineering best practices. Ability to analyze large-scale datasets, derive insights, and optimize NLP model performance. Excellent communication skills and ability to collaborate with cross-functional teams.