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Halo Media

👥 11-50InternetConsultingWeb DevelopmentAppsMarketingMobileWeb DesignSoftware💼 Private Company
Website LinkedIn Email Facebook

Halo Media is an American software and design solutions company based in New York City, established in 2006 by CEO David Lee. They operate with a diverse remote team of nearly 200 contractors from LATAM, emphasizing inclusivity and attracting talent from various backgrounds.

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Jobs at this company:

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🔥 Senior BI Dev (Qlik Mashups)
Posted 4 days ago

📍 Argentina, Uruguay, Colombia, Brazil

🧭 Contract

  • Proven working experience as a Data Analyst or Business Data Analyst for more than 5 years.
  • QLik Mashups, QLik Sense & SQL strong proficiency.
  • Experience creating data visualizations and models.
  • Strong knowledge and proficiency in using set analysis and set expressions.
  • Designing, validating, and creating data visualizations and models.
  • Managing a team of data analysts.
  • Guiding and mentoring other data analysts.
  • Enhancing the efficiency and usability of data reporting tools for our clients.

SQLData AnalysisETLHTMLCSSJavascriptQliksenseCommunication SkillsAnalytical SkillsMentoringJSONData visualizationTeam managementData modelingScriptingData analyticsData management

Posted 4 days ago
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🔥 Senior Data Scientist
Posted 4 days ago
Posted 4 days ago
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🔥 Senior Software Development Engineer - India - Fully Remote
Posted about 1 month ago

📍 India

🔍 Software Development

  • 5+ years of software development in java
  • 3+ years of hands-on experience with Spring boot application
  • Good with database fundamentals (Stored Procedures/Functions, Triggers, Packages etc) and working knowledge of SQL ( PL/SQL, PL/pgSQL) for either PG or Oracle
  • Fixes and Updates (Product Releases)
  • Analyzing and Troubleshooting Customer Issues
  • Improve Test Coverage
  • Minor Feature Development
  • Reengineering – Usability, Code Optimization, Performance Tuning

Backend DevelopmentDockerSoftware DevelopmentSQLJavaKubernetesSpring BootVue.JsSelenium

Posted about 1 month ago
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🔥 MEAN Stack Developer - All LATAM countries - Fully Remote
Posted about 1 month ago

📍 Argentina, Uruguay, Colombia, Peru, Dominican Republic

🔍 Software Development

Technical proficiency in Angular, NodeJS, NestJS, JavaScript, TypeScript, MongoDB, Express.
NOT STATED

Node.jsExpress.jsJavascriptMongoDBTypeScriptAngularREST APINest.js

Posted about 1 month ago
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🔥 LLM Data Engineer | United States | Fully Remote
Posted 5 months ago

📍 United States

🔍 Artificial Intelligence and Data Engineering

  • Master's degree in Computer Science, Data Science, or a related field.
  • 3-5 years of work experience in data engineering, preferably in AI/ML contexts.
  • Proficiency in Python, JSON, HTTP, and related tools.
  • Strong understanding of LLM architectures, training processes, and data requirements.
  • Experience with RAG systems, knowledge base construction, and vector databases.
  • Familiarity with embedding techniques, similarity search algorithms, and information retrieval concepts.
  • Hands-on experience with data cleaning, tagging, and annotation processes.
  • Knowledge of data crawling techniques and associated ethical considerations.
  • Familiarity with Snowflake and its integration in AI/ML pipelines.
  • Experience with various vector store technologies and their applications in AI.
  • Understanding of data lakehouse concepts and architectures.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to translate business needs into technical solutions.
  • Passion for innovation and commitment to ethical AI development.
  • Experience building LLMs pipeline using frameworks like LangChain, etc.
  • Design, implement, and maintain an end-to-end multi-stage data pipeline for LLMs, including Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) data processes.
  • Identify, evaluate, and integrate diverse data sources and domains to support the Generative AI platform.
  • Develop and optimize data processing workflows for chunking, indexing, ingestion, and vectorization for both text and non-text data.
  • Benchmark and implement various vector stores, embedding techniques, and retrieval methods.
  • Create a flexible pipeline supporting multiple embedding algorithms, vector stores, and search types.
  • Implement and maintain auto-tagging systems and data preparation processes for LLMs.
  • Develop tools for text and image data crawling, cleaning, and refinement.
  • Collaborate with cross-functional teams to ensure data quality and relevance for AI/ML models.
  • Work with data lakehouse architectures to optimize data storage and processing.
  • Integrate and optimize workflows using Snowflake and various vector store technologies.

AWSPythonGCPSnowflakeAlgorithmsAzureData engineeringData scienceSparkCollaborationJSON

Posted 5 months ago
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