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🔥 Senior Technical Architect - Gen AI
Posted 2024-11-20

📍 United States

💸 170000 - 200000 USD per year

🔍 Artificial Intelligence

  • 10+ years of professional experience building and deploying machine learning models and systems.
  • 1+ years of hands-on experience with LLMs and GenAI techniques, especially prompt engineering, RAG systems, and agents.
  • Proven experience in client-facing LLM and RAG implementations.
  • Strong programming skills in Python, Langchain, and SQL.
  • Familiarity with cloud services and infrastructure (Azure, GCP, AWS).
  • Exceptional communication skills, with the ability to work effectively with business SMEs, translating technical concepts into business insights.

  • Lead GenAI Client Engagements: Oversee client-facing engagements, translating business needs into technical solutions and aligning the engineering team toward an actionable roadmap.
  • Architect Machine Learning Systems: Design and build AI/ML systems with a focus on LLMs, RAG, and agents, including solution workflow and pipeline design.
  • Business Analysis and Requirement Gathering: Collaborate with business SMEs to perform in-depth analyses, gather requirements, and design scalable solutions for GenAI and machine learning projects.
  • Code Development & Review: Leverage hands-on skills in Python, Langchain, and SQL to develop, test, and review code, ensuring adherence to best practices and project requirements.
  • Optimize Cloud Infrastructure: Use knowledge of cloud platforms (Azure, GCP, or AWS) to architect secure, scalable, and efficient GenAI solutions.

AWSPythonSQLBusiness AnalysisGCPMachine LearningAzureCommunication Skills

Posted 2024-11-20
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🔥 Staff Engineer
Posted 2024-11-20

📍 Canada, United States, Brazil, Argentina, Peru

🔍 Construction and industrial engineering sectors

  • 10+ years in software engineering.
  • 3+ years of professional experience in Python.
  • Proficiency in HTML/CSS, JavaScript, and modern web frameworks like React.
  • Understanding of machine learning fundamentals.
  • Strong grasp of networking principles.
  • Experience deploying container-based applications using Kubernetes.
  • Familiarity with deployment tools like Ansible or Terraform.
  • Knowledge of databases such as MongoDB, Cassandra, or SQL.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Proficiency in CI/CD pipeline management with tools like Jenkins.
  • API design and implementation experience, including REST and GraphQL.

  • Lead the adoption of best practices in code standards, testing strategies, CI/CD processes, and security protocols.
  • Optimize system architecture by balancing complexity and cost, including application hosting, communication between components, and API design.
  • Contribute directly to high-impact projects.
  • Mentor engineering team members and support their career growth.

AWSPythonSQLGCPHTMLCSSJavascriptJenkinsKubernetesMachine LearningMongoDBJavaScriptAzureCassandraReactCI/CDTerraform

Posted 2024-11-20
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🔥 Senior Analyst
Posted 2024-11-19

🧭 Contract

💸 50 - 60 USD per hour

  • Minimum of 3 years of experience as an analyst, with strong problem-solving skills.
  • Prior experience supporting end users in the context of large-scale ERP system deployments.
  • Intermediate to advanced proficiency in Excel, including complex formulas, data analysis, and reporting.
  • Excellent interpersonal and communication skills, with the ability to interact and collaborate effectively with field personnel.
  • Quick learner with a positive attitude and a proactive approach to problem-solving.
  • Detail-oriented with a go-getter mentality.
  • Preferred: Experience with Oracle Maintenance Cloud and familiarity with parts inventory related to heavy equipment maintenance.

  • Act as the first point of contact for field questions related to ERP (Oracle Maintenance Cloud) via the ticketing system.
  • Provide end-user support, troubleshooting, and resolution for system related issues.
  • Assist with configuring and customizing Oracle Maintenance Cloud to meet evolving business requirements.
  • Leverage Excel for data analysis, reporting, and issue resolution.
  • Collaborate with stakeholders to ensure smooth deployment across multiple sites.
  • Maintain a high level of customer service by identifying and addressing root issues, offering training, and resolving end-user concerns.
  • Collaborate with field users to resolve issues, improve processes, and enhance the overall user experience.
Posted 2024-11-19
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