Technology Architect Machine Learning / AI

BURGEON IT SERVICES LLC
Sunnyvale, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Cloud Engineering
Computer Programming
Monitoring of Systems
Python
Machine Learning
NumPy
Open Source Technology
Search Technologies
Software Deployment
SQL Databases
Google Cloud Platform
Cloud Platform System
Large Language Models
Multi-Agent Systems
Prompt Engineering
Deep Learning
Generative AI
Pandas
PySpark
Scikit Learn
Data Analytics
Machine Learning Operations
Api Design
Software Version Control
Microservices

Job description

Machine Learning 2. Artificial Intelligence / 3. Python

Requirements

We are seeking an experienced Technology Architect Machine Learning & AI to join a high-impact team. The ideal candidate will have strong expertise in Python, Machine Learning, Generative AI, and cloud-based AI/ML solutions. This role requires hands-on development experience, architectural knowledge, and the ability to work in client-facing environments., 7+ years of experience in: + Machine Learning + Artificial Intelligence + Python Development * Strong programming expertise in Python and related AI/ML libraries. * Solid understanding of Machine Learning algorithms and Deep Learning frameworks.

AI/ML Technologies * Hands-on experience with: + Generative AI and Large Language Models (LLMs) + OpenAI, Azure OpenAI, and open-source LLMs * Experience with: + Prompt Engineering + Retrieval-Augmented Generation (RAG) + LangChain, Semantic Kernel, or similar AI orchestration frameworks * Knowledge of Responsible AI practices, data ethics, and bias mitigation techniques.

Data Engineering & Analytics * Strong experience with: + Pandas + NumPy + SQL + PySpark * Experience handling large-scale data processing and model training pipelines.

Cloud & MLOps * Experience building, deploying, and managing ML models in cloud environments: + AWS + Azure + Google Cloud Platform * Knowledge of MLOps practices including: + Model versioning + CI/CD pipelines + Model monitoring and performance tracking

Additional Technical Skills * Experience with vector databases and semantic search technologies. * Familiarity with API development and microservices architecture. * Strong understanding of scalable AI solution design and deployment.

Preferred Qualifications * Experience working in client-facing delivery environments. * Ability to design end-to-end AI/ML solutions from development through production deployment. * Strong communication and stakeholder management skills.

Apply for this position