Senior Analyst

5 days ago

Sharjah, Sharjah, United Arab Emirates Lamprell Energy LTD Full time 120,000 - 240,000 per year

We are seeking a seasoned Senior Full-Stack developer with extensive experience in , , MongoDB, and Google Cloud Platform (GCP). The ideal candidate will have a deep understanding of MLOps, DevSecOps, and modern web architecture. He / She should have proven experience in implementing Open source LLMs, Google Gemini Flash 2.5, Vertex Ai, Google Ai studio in the web application hosted in GCP. This role involves designing and implementing a robust, scalable, and secure digital platform that processes and analyzes data from various sources, including sensors, IoT devices, and CCTV cameras. A strong background in AI, containerization, and agile methodologies is essential.

Responsibilities

  • Develop and maintain the full-stack web application. Use for the front end, for the back end, and MongoDB for the database.
  • Manage integrations to ingest real-time data from sensors, IoT devices, and CCTV cameras.

  • Integrate AI and machine learning models into the platform:

  • Develop and deploy solutions using Visual Language Models (VLMs) like Gemma for video analysis.

  • Integrate services for converting images to text.

  • Lead the development of conversational AI agents using Google Gemini Flash 2.5, Google AI Studio, and Vertex AI.

  • Design and manage the platform's infrastructure on the Google Cloud Platform (GCP). Ensure high availability, scalability, and security.

  • Use Docker for containerization and GKE (Google Kubernetes Engine) for orchestrating microservices deployment.
  • Implement DevSecOps practices and CI/CD pipelines. Ensure secure, automated, and efficient software delivery.
  • Configure and manage private VPN tunnels. Secure data transmission between the platform and various data sources.
  • Act as a Scrum Master within an agile framework. Lead daily stand-ups, sprint planning, and retrospectives.
  • Integrate with the NVIDIA AI Enterprise platform. Leverage high-performance computing resources for AI/ML workloads.
  • Mentor junior developers, conduct code reviews, and promote best practices in software development.
Desired Candidate Profile

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5-7+ years of experience as a full-stack developer.
  • Experience building and deploying digital platforms.
  • Hands-on experience with , , and MongoDB.
  • Experience with Google Cloud Platform (GCP) and related services.
  • Experience with containerization (Docker) and orchestration (Kubernetes/GKE).
  • Experience with real-time data integration from IoT devices and sensors.
  • Experience in AI/ML model integration, including video analytics and LLMs.

Technical Skills:

  • Front-end: , JavaScript/TypeScript, HTML5, CSS3.
  • Back-end: , , RESTful APIs.
  • Database: MongoDB, Mongoose.
  • Cloud: Google Cloud Platform (GCP), GKE, Vertex AI, Google AI Studio.
  • AI: Experience with VLM (e.g., Gemma), LLMs, Image-to-Text, and AI chatbot development using Google Gemini.
  • DevOps: Docker, Kubernetes, CI/CD tools.
  • Security: DevSecOps principles, private VPN tunnels.
  • Hardware Integration: Knowledge of integrating with platforms like NVIDIA AI Enterprise.

Certifications (Desired):

  • Scrum Master Certification
  • Google Cloud Certification (e.g., Professional Cloud Developer, Professional Cloud Architect)

Soft Skills:

  • Problem-solving and analytical abilities.
  • Communication and leadership skills.
  • Ability to work in an agile, fast-paced environment.
  • Ability to mentor and lead technical teams.

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