Elasticsearch Jobs

I'm seeking a professional to assist with transferring a mixed type of data (documents, media files etc.) from a Kubernetes Elastic logs cabinet to a NAS storage. Key details: - The total data size exceeds 5TB - The current data organization in the cabinet is structured in specific folders. Ideal candidates for this project should have: - Prior experience with large scale data transfers - Knowledge of Diskstation Synology NAS storage systems - Ability to maintain the existing organizational structure during the transfer

We are seeking a highly skilled Elasticsearch Developer with a strong background in AI-powered search technologies to help us enhance and optimize our search capabilities. The ideal candidate will have hands-on experience with Elasticsearch and integrating Artificial Intelligence (AI) and Machine Learning (ML) techniques for improving search relevance, accuracy, and performance. Key Responsibilities: -Prior experience with AI-based search systems. - Implementing NLP techniques into our Elasticsearch framework. - Aiming to improve our system's response automation and content generation abilities. Ideal Skills: - Extensive experience with Elasticsearch. - Proficient in Natural Language Processing. - Previous work with user-generated content preferred.

I'm looking for a seasoned Python Engineer with extensive Flask experience to build a robust API service. Key responsibilities will include: - Web development with Flask: Your primary focus will be creating a scalable and efficient API service that meets our project's requirements. - Data Handling and ETL: While the bulk of the work will be web development, a strong capability in data handling, extraction, transformation, and loading is essential. Experience with Panda is a must. - Integration of Data Analytics: The API will need to have data analytics capabilities. Prior experience in this area will be beneficial. - Implementing Real-time Updates: The API service should be able to support real-time updates. Experience with similar features in previous projects is a plus. The i...

I am in need of a highly skilled Senior Python Engineer to assist with the backend of a web application. The ideal candidate should have substantial experience with Python, MongoDB, PostgreSQL, and Flask, as well as a deep understanding of object-oriented programming and scalable architecture. Key Responsibilities: - Designing and implementing backend components. - Handling data processing and storage. - Developing robust APIs. Critical Skills: - Proficiency in Python and Flask. - Extensive knowledge of MongoDB and PostgreSQL. - Experience with object-oriented programming. - Understanding of scalable architecture. - Proficient in data extraction, transformation, and loading (ETL) using Pandas. This role will focus heavily on data processing and storage, as well as API development, so ...

I'm looking for an intermediate-level freelancer who can develop three Python files for me. These files should execute trained machine learning models on new data, generate visualizations of model performance, and compare and report on the performance of different models. The main tasks involve: - Creating Python files for executing machine learning models, generating visualizations, and comparing model performances - Troubleshooting and optimizing data ingestion into Elasticsearch - Configuring and verifying Kibana visualizations I use TensorFlow and PyTorch for my machine learning frameworks, so experience with these is crucial. The visualizations needed for model performance include Confusion matrices, ROC curves, and Precision-recall curves. The ultimate goal is to integrate ...

I'm seeking an AWS expert to assist with scheduling reports in AWS Connect, utilizing a Lambda function. Key Requirements: - The Lambda function will primarily be engaged in data loading. - The data needs to be loaded into an S3 bucket. - The data must be formatted as CSV upon loading to the S3 bucket. Ideal Skills and Experience: - Proficiency in AWS services, particularly AWS Connect and Lambda. - Strong experience with S3 and data loading operations. - Familiarity with data formatting, specifically CSV.

I'm in urgent need of a professional to help finalize my Elasticsearch/Kibana setup. The system is already configured but I require assistance with the following: - Data Logging Points: I need help identifying and setting up the data logging points to capture system performance data correctly. - Backup Visuals: I need additional visuals created within the program using Matplotlib and Seaborn. Most of the code is written, I just need help pulling everything together. The system performance data is currently in JSON format. Ideally, you should have extensive experience with Elasticsearch, Kibana and data visualization, as well as strong coding skills, particularly with Python and its libraries.