Senior Analyst

• Lead the development of conversational AI agents using Google Gemini Flash 2.5, Google AI Studio, and Vertex AI.
• Implement DevSecOps practices and CI/CD pipelines. Ensure secure, automated, and efficient software delivery.
• Design and manage the platform's infrastructure on the Google Cloud Platform (GCP). Ensure high availability, scalability, and security.
• Integrate AI and machine learning models into the platform:
• Act as a Scrum Master within an agile framework. Lead daily stand-ups, sprint planning, and retrospectives.
• Develop and deploy solutions using Visual Language Models (VLMs) like Gemma for video analysis.
• Manage integrations to ingest real-time data from sensors, IoT devices, and CCTV cameras.
• Integrate with the NVIDIA AI Enterprise platform. Leverage high-performance computing resources for AI/ML workloads.
• Use Docker for containerization and GKE (Google Kubernetes Engine) for orchestrating microservices deployment.
• Integrate services for converting images to text.
• Mentor junior developers, conduct code reviews, and promote best practices in software development.
• Develop and maintain the full-stack web application. Use React.js for the front end, Next.js for the back end, and MongoDB for the database.
• Configure and manage private VPN tunnels. Secure data transmission between the platform and various data sources.

Lamprell Digital department is developing innovative digital solutions that leverage cutting-edge technologies. We are building a next-generation web platform that integrates real-time data from sensors and IoT devices with powerful AI and machine learning capabilities. We are looking for a highly experienced and versatile Senior Full-Stack developer with proven experience in embedding AI/ML solutions to lead the development of this complex and impactful system.

We are seeking a seasoned Senior Full-Stack developer with extensive experience in React.js, Next.js, 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.

• Experience with real-time data integration from IoT devices and sensors.
• Ability to work in an agile, fast-paced environment.
• Ability to mentor and lead technical teams.
• Google Cloud Certification (e.g., Professional Cloud Developer, Professional Cloud Architect)
• Communication and leadership skills.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Security: DevSecOps principles, private VPN tunnels.
• 5-7+ years of experience as a full-stack developer.
• Scrum Master Certification
• Problem-solving and analytical abilities.
• Cloud: Google Cloud Platform (GCP), GKE, Vertex AI, Google AI Studio.
• Experience in AI/ML model integration, including video analytics and LLMs.
• Front-end: React.js, JavaScript/TypeScript, HTML5, CSS3.
• AI: Experience with VLM (e.g., Gemma), LLMs, Image-to-Text, and AI chatbot development using Google Gemini.
• Hardware Integration: Knowledge of integrating with platforms like NVIDIA AI Enterprise.
• Hands-on experience with React.js, Next.js, and MongoDB.
• Experience building and deploying digital platforms.
• Experience with containerization (Docker) and orchestration (Kubernetes/GKE).
• DevOps: Docker, Kubernetes, CI/CD tools.
• Experience with Google Cloud Platform (GCP) and related services.