Qureos Mentor

Edge

<div>
 
 
 At Edge
 
 
 
 We&rsquo;re on a mission to eliminate geographic borders as barriers to full-time employment and fair wages. We&rsquo;re creating a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we provide businesses access to a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team disrupting how people work together.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop, train, and optimize machine learning models tailored to real-world business applications.
 </li>
 <li>
 Work deeply with LLMs and transformer architectures to build intelligent AI systems.
 </li>
 <li>
 Architect and maintain vector databases and embedding systems for semantic search and retrieval.
 </li>
 <li>
 Build and manage robust data pipelines, ETL/ELT workflows (e.g., Spark/Glue), and integrate them into Retool pipelines.
 </li>
 <li>
 Handle data with proficiency in both SQL and NoSQL (particularly MongoDB) systems.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business and compliance requirements.
 </li>
 <li>
 
 (Preferred)
 
 Contribute to deployment, monitoring, and scale of models using MLOps practices.
 </li>
 </ul>
 
 
 Requirements
 
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 Proven experience in ML model development, training, and optimization.
 </li>
 <li>
 Hands-on expertise with LLMs and transformer architectures.
 </li>
 <li>
 Solid knowledge of vector databases and embedding systems.
 </li>
 <li>
 Strong capability in building data pipelines and ETL/ELT processes (e.g., Spark/Glue or equivalent).
 </li>
 <li>
 Proficiency in SQL and NoSQL databases (especially MongoDB).
 </li>
 <li>
 Excellent programming skills in Python and familiarity with ML/AI libraries.
 </li>
 </ul>
 
 
 Good-To-Have (Preferred) Requirements
 
 
 <ul>
 <li>
 Experience with MLOps practices&mdash;model deployment, monitoring, and scaling.
 </li>
 <li>
 Familiarity with building RAG (Retrieval-Augmented Generation) systems.
 </li>
 <li>
 Experience in fine-tuning LLMs using techniques like LoRA, QLoRA, or PEFT.
 </li>
 <li>
 Working knowledge of frameworks such as Hugging Face Transformers, LangChain, or LlamaIndex.
 </li>
 <li>
 Exposure to deploying ML workflows on cloud platforms (AWS, GCP, Azure).
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth point, offering you the rare opportunity to shape the future of global employment. Your work will directly impact business growth, enable global opportunities, and transform how people work across borders.
 
 
 We&rsquo;re not just offering a job &mdash; we&rsquo;re inviting you to be part of a revolution.
 
 
 Ready to leave a global footprint and change lives? Edge is where your vision becomes reality.
 
 
 
</div>

Machine Learning Engineer (LLMs & Generative AI)

<div>
 
 
 At Edge
 
 
 
 We&rsquo;re on a mission to eliminate geographic borders as barriers to full-time employment and fair wages. We&rsquo;re creating a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we provide businesses access to a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team disrupting how people work together.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a skilled
 
 Data Engineer
 
 to join our team. The ideal candidate will have strong expertise in designing, building, and maintaining scalable data pipelines and warehouses, ensuring data accuracy, quality, and accessibility across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL/ELT pipelines
 
 for efficient data processing.
 </li>
 <li>
 Build and optimize
 
 data models and warehouses
 
 to support analytics and reporting.
 </li>
 <li>
 Implement
 
 data governance and quality frameworks
 
 to ensure reliable insights.
 </li>
 <li>
 Integrate data from various sources (APIs, databases, third-party systems).
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, analytics) to enable data-driven decision-making.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Proven experience in
 
 ETL/ELT pipeline development
 
 .
 </li>
 <li>
 Strong knowledge of
 
 data modeling and data warehousing
 
 .
 </li>
 <li>
 Proficiency in
 
 BigQuery, SQL, and NoSQL databases
 
 .
 </li>
 <li>
 Experience working with
 
 APIs
 
 for data integration.
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 for data engineering tasks and automation.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with
 
 data governance and data quality frameworks
 
 .
 </li>
 <li>
 Familiarity with cloud-based data platforms and modern data stack tools.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 3+ years of experience as a Data Engineer or in a related role.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth point, offering you the rare opportunity to shape the future of global employment. Your work will directly impact business growth, enable global opportunities, and transform how people work across borders.
 
 
 We&rsquo;re not just offering a job &mdash; we&rsquo;re inviting you to be part of a revolution.
 
 
 Ready to leave a global footprint and change lives? Edge is where your vision becomes reality.
 
 
 
</div>

Data Engineer

Join Edge and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Edge

ABOUT_COMPANY

Machine Learning Engineer (LLMs & Generative AI)

Data Engineer