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Internship Senior Linux Kernel Engineer Ubuntu Jobs in Arizona

Senior Infra and DevOps Cloud Engineer

Gilbert, AZ · Hybrid

$129K - $166K/yr

Experience administering Ubuntu, Red Hat Linux, or Windows Server 2012R2, 2016, 2019, or 2022 * AWS ... Work you'll do As a Senior Infra and DevOps Cloud Engineer on the team, you will be responsible for:

Senior Infra and DevOps Cloud Engineer

Gilbert, AZ · Hybrid

$129K - $166K/yr

Experience administering Ubuntu, Red Hat Linux, or Windows Server 2012R2, 2016, 2019, or 2022 * AWS ... Work you'll do As a Delivery Senior Consultant on the team, you will be responsible for: * Help ...

Cloud Engineer

Phoenix, AZ · On-site

$54.25 - $72.50/hr

AWS, GCP, Azure, Docker, Kubernetes, Terraform, Github, CICD, Jenkins Programming Languages: Java ... Windows 7/XP, UNIX, LINUX(ubuntu) Databases: Oracle 11g/10g/9i/8i, MS SQL Server, MYSQL-SQL&PL/SQL ...

Linux Systems Administrator

Tucson, AZ · On-site

$95K - $115K/yr

... electrical engineers, mathematicians, computer scientists, and analysts who are collectively ... Collaborate with senior administrators to support infrastructure projects and migrations--including ...

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Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies Llc

Phoenix, AZ • On-site

Full-time

Re-posted 29 days ago


Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python. 
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration. 
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices. 
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases. 
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven). 
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments. 
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions. 
  • Good understanding of data structures, algorithms and design patterns 
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.