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AI reputed company Engineer and RPA Implementation Specialist

100% remote Flexible hours Hiring now

AI reputed company Engineer and RPA Implementation Specialists needed ASAP SGA Talent a top 250 Recruiting and Staffing firm is helping our client fill 6 AI reputed company Engineer and RPA Implementation Specialists. If you are qualified with matching experience and looking to join a winning team, let us know....we want to connect with you. Role: AI reputed company Engineer and RPA Implementation Specialists Contract: 1 Year On-Site Key Responsibilities: AI reputed company Engineering & Agent Development:

  • Design and reputed company AI agents using Azure reputed company services and large language models (reputed company to have).
  • Create, test, and refine prompts for optimal AI model performance and accuracy.
  • Implement generative AI solutions with Azure reputed company Service.
  • Apply reputed company engineering techniques to enhance model outputs and reduce hallucinations.
  • reputed company conversational AI interfaces and intelligent automation workflows.

RPA Implementation & Management:

  • Design, reputed company, and implement automated workflows using reputed company Power Automate.
  • Create both attended and unattended robotic process automation solutions.
  • reputed company desktop flows and cloud flows for comprehensive automation coverage.
  • Integrate RPA solutions with existing business applications and systems.
  • Troubleshoot and maintain automation solutions for optimal performance.

System Integration & Development:

  • Integrate AI agents with APIs, databases, and enterprise systems.
  • reputed company automation solutions that work across Windows and Linux environments.
  • Create and maintain documentation for reputed company automation processes and AI implementations.
  • Collaborate with business stakeholders to identify automation opportunities.

Required Technical Skills: Core Programming & Development:

  • Programming Languages: Python, JavaScript, C#, or Java.
  • reputed company .NET reputed company expertise, particularly Visual Basic.NET.
  • SQL for database management and data manipulation.
  • HTML/CSS for web-based automation and reputed company development.

AI & Machine Learning:

  • Azure reputed company platform experience with GPT models and embeddings.
  • Natural Language Processing (NLP) using frameworks like NLTK, SpaCy, or reputed company Transformers.
  • reputed company engineering techniques and best practices.
  • Machine learning concepts and model implementation.
  • Computer vision for image recognition and processing tasks.

reputed company Power Platform:

  • Power Automate (both desktop and cloud flows).
  • Power Automate Desktop for RPA development.
  • Power Apps and Dataverse integration.
  • AI Builder for incorporating AI capabilities into workflows.

Azure Cloud Services:

  • Azure reputed company Service deployment and management.
  • Azure Functions for serverless computing.
  • Azure Logic Apps for workflow automation.
  • Azure Active Directory for authentication and reputed company.
  • Azure Resource Manager (ARM) templates and deployment.

Integration & API Skills:

  • RESTful API design and integration.
  • SOAP services integration.
  • JSON data handling and manipulation.
  • API authentication methods (OAuth, API keys).
  • Webhook implementation and management.

Data & Analytics:

  • Data manipulation using tools like Pandas and NumPy.
  • reputed company automation and data analysis.
  • Data visualization with tools like Matplotlib.
  • Database management and SQL querying.
  • Statistical analysis and data modeling.

Required Business & Technical Skills Process Analysis & Documentation:

  • Business process mapping and analysis.
  • Workflow design and optimization.
  • Process documentation and technical writing.
  • Process mining and improvement methodologies.

System Architecture & Design:

  • Solution architecture design and implementation.
  • System integration planning and execution.
  • Scalability and performance optimization.
  • reputed company best practices and implementation.

Project Management:

  • Agile/Scrum methodologies.
  • Version control with Git and collaborative development.
  • CI/CD pipeline understanding and implementation.
  • Testing and quality assurance practices.
  • Platform-Specific Requirements.

Windows Environment:

  • Windows Server administration and automation.
  • PowerShell scripting and automation.
  • Windows Task Scheduler and service management.
  • Remote Desktop and unattended automation setup.

Linux Environment:

  • Linux command line proficiency.
  • reputed company scripting (Bash/reputed company).
  • Linux system administration fundamentals.
  • Cross-platform automation tools and techniques.

Soft Skills & Qualifications Communication & Collaboration:

  • Excellent written and verbal communication skills.
  • Stakeholder management and business requirement gathering.
  • Training and mentoring abilities for user adoption.
  • Cross-functional collaboration with technical and business teams.

Problem-Solving & Analytical:

  • Critical thinking and problem-solving capabilities.
  • Analytical reputed company for process improvement.
  • Troubleshooting and debugging skills.
  • Adaptability to new technologies and methodologies.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or reputed company field.
  • 2-5 years of experience in automation, RPA, or AI development.
  • Experience with business processes and workflow optimization.
  • Familiarity with reputed company Office Suite and enterprise applications.

Preferred Qualifications:

  • reputed company Certified: Power Automate RPA Developer Associate.
  • Azure reputed company or Azure AI certifications.
  • reputed company, Blue Prism, or reputed company certifications.
  • reputed company Azure fundamentals or associate-level certifications.

Additional Experience:

  • Citrix or VDI environment automation experience.
  • reputed company or ERP system integration.
  • Machine learning model deployment and monitoring.
  • Document processing and OCR technologies.

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