Hace 1 día
Remote Data Scientist-S
$23 - $28 Por Hora
ntd software
Esta es una vacante externa, deberás completar el proceso en el sitio de la empresa.
Sobre el empleo
Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Procesamiento de datos
Educación mínima requerida:
Detalles
Horario:
Tiempo completoEspacio de trabajo:
PresencialDescripción
About NTD Software:
NTD Software is a forward-thinking software company that leverages cutting-edge technologies to provide innovative solutions across various industries. We are seeking a highly skilled and motivated Remote Data Scientist to join our dynamic team and contribute to the development of advanced data-driven applications.
Position Overview:
As a Remote Data Scientist at NTD Software, you will play a vital role in developing data models and leveraging Natural Language Processing (NLP) techniques to extract insights from text data. Your work will involve the use of decision tree and random forest classification models, NLP-based tokenization, lemmatization, and vectorization, as well as deploying and training these models. You will also analyze data sentiment using the Naive Bayes algorithm, build APIs, and work with Large Language Models (LLM) for model deployment, fine-tuning, and meta-prompt building. Experience with Kubernetes in AWS EKS and ECR, as well as data lakes with parquet data formats, is also essential.
Key Responsibilities:
Classification Models: Utilize decision tree and random forest classification models to analyze and classify data.
NLP Techniques: Apply NLP-based techniques for tokenization, lemmatization, and vectorization, processing data into machine-understandable language.
Sentiment Analysis: Use the Naive Bayes algorithm to determine the sentiment polarity of datasets.
API Development: Build and integrate APIs to enable data access and interaction.
LLM Expertise: Leverage Large Language Models for model deployment, fine-tuning, training, meta-prompt building, and grounding.
Scalable Applications: Deploy scalable applications using Kubernetes in AWS EKS and ECR.
Data Lakes: Work with data lakes, including parquet data formats, for efficient data storage and retrieval.
Qualifications:
-Proven experience with decision tree and random forest classification models.
-Strong knowledge of NLP techniques, including tokenization, lemmatization, and vectorization.
-Proficiency in using the Naive Bayes algorithm for sentiment analysis.
-API development and integration expertise.
-Experience with Large Language Models (LLM) for model deployment, fine-tuning, and meta-prompt building.
-Hands-on experience in deploying scalable applications using Kubernetes in AWS EKS and ECR.
-Familiarity with data lakes and data storage in parquet formats.
-Strong analytical and problem-solving skills.
How to Apply:
If you are a data scientist with a passion for cutting-edge technology and a deep understanding of data analysis and modeling, we encourage you to apply for this position. Join our team at NTD Software and be a part of our mission to develop data-driven solutions that transform industries.
This is a remote position open to candidates in the entire LATAM region.
$23 - $28 an hour
NTD Software is a forward-thinking software company that leverages cutting-edge technologies to provide innovative solutions across various industries. We are seeking a highly skilled and motivated Remote Data Scientist to join our dynamic team and contribute to the development of advanced data-driven applications.
Position Overview:
As a Remote Data Scientist at NTD Software, you will play a vital role in developing data models and leveraging Natural Language Processing (NLP) techniques to extract insights from text data. Your work will involve the use of decision tree and random forest classification models, NLP-based tokenization, lemmatization, and vectorization, as well as deploying and training these models. You will also analyze data sentiment using the Naive Bayes algorithm, build APIs, and work with Large Language Models (LLM) for model deployment, fine-tuning, and meta-prompt building. Experience with Kubernetes in AWS EKS and ECR, as well as data lakes with parquet data formats, is also essential.
Key Responsibilities:
Classification Models: Utilize decision tree and random forest classification models to analyze and classify data.
NLP Techniques: Apply NLP-based techniques for tokenization, lemmatization, and vectorization, processing data into machine-understandable language.
Sentiment Analysis: Use the Naive Bayes algorithm to determine the sentiment polarity of datasets.
API Development: Build and integrate APIs to enable data access and interaction.
LLM Expertise: Leverage Large Language Models for model deployment, fine-tuning, training, meta-prompt building, and grounding.
Scalable Applications: Deploy scalable applications using Kubernetes in AWS EKS and ECR.
Data Lakes: Work with data lakes, including parquet data formats, for efficient data storage and retrieval.
Qualifications:
-Proven experience with decision tree and random forest classification models.
-Strong knowledge of NLP techniques, including tokenization, lemmatization, and vectorization.
-Proficiency in using the Naive Bayes algorithm for sentiment analysis.
-API development and integration expertise.
-Experience with Large Language Models (LLM) for model deployment, fine-tuning, and meta-prompt building.
-Hands-on experience in deploying scalable applications using Kubernetes in AWS EKS and ECR.
-Familiarity with data lakes and data storage in parquet formats.
-Strong analytical and problem-solving skills.
How to Apply:
If you are a data scientist with a passion for cutting-edge technology and a deep understanding of data analysis and modeling, we encourage you to apply for this position. Join our team at NTD Software and be a part of our mission to develop data-driven solutions that transform industries.
This is a remote position open to candidates in the entire LATAM region.
$23 - $28 an hour
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.
ID: 20385749
También puedes buscar
También puedes buscar