Sparktek
Role: Sr Data Scientist with Strong Python
Location: Seattle/Dallas/Kansas preferred [Remote also considered]
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 .
Location: Seattle/Dallas/Kansas preferred [Remote also considered]
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 .