Software Architect (artificial intelligence)

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Python
JAVA
great communication skills
public cloud
aws
software architecture
machine learning
artificial intelligence
Google Cloud Platform
software coding
JavaScript
Cassandra
AI
Azure
Kubernetes
amazon
cloud
data science
Data Scientist
PostgreSQL
MongoDB
architect

Job Details

Technical Architect - AI and GenAI Platforms- Programming and scripting languages: Python, C/C++, Java, JSP, Perl, Shell, JavaScript, TypeScript

We are actively seeking a seasoned Technical Architect to spearhead our dynamic team in conceptualizing and implementing GenAI applications tailored for Telecom Network scenarios. Our ideal candidate possesses a proven track record of successful project deliveries across a diverse tech spectrum. They should be adept at hands-on implementation, whether in proof-of-concept (POC) or full-scale deployment.

Design AI Solutions
Architect and design scalable, reliable, and high-performance AI solutions leveraging the capabilities of Multi-Cloud Platforms (Google Cloud Platform, Azure, AWS). Design, develop, and implement Generative AI models and algorithms LLM models (Falcon, Llama2), Google (PaLM, Gemini), Open AI

LLM Ops
Productionize models model training, model deployment, model serving, and model monitoring. Optimize Generative AI models for improved performance, scalability, and efficiency.

Client Consultation
Conduct thorough consultations with clients to comprehend their business goals, challenges, and requirements.
Act as a trusted advisor, providing insights into how Gen AI solutions can drive value and enhance business processes.

Prototyping and Proof of Concept
Develop prototypes and proof of concept demonstrations to showcase the feasibility and potential impact of proposed Gen AI solutions.
Iterate on prototypes based on client feedback and technical feasibility.

> Proficiency in the following languages, frameworks, and tools is preferred:
> Programming and scripting languages: Python, C/C++, Make, Java, JSP, Perl, Shell, JavaScript, TypeScript
> Structured and NoSQL databases: Informix, Oracle, PostgreSQL, MongoDB, Cassandra
> Modernization of monolithic applications and legacy app migrations to microservices architecture
> Database and dataset migrations, SQL conversion scripting
Virtualization tools: VMware, Vagrant, Docker, Podman
Containerization tools: Kubernetes (K8s), OpenShift, Amazon EKS, Helm
> Cloud platforms: AWS, Google Cloud Platform (Google Cloud Platform), Microsoft Azure
> CI/CD tools: Jenkins, GitCI, Argo

If you possess a passion for innovation, a drive for excellence, and a commitment to collaborative success, we invite you to join us in shaping the future of telecom networks through GenAI applications.