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Vertex Computer Systems
Vertex Computer Systems

60 Vertex Computer Systems Jobs Hiring in Georgia

Ova Technologies

Senior AI developer

Alpharetta, GA · On-site +1

Required Qualifications * Bachelor's or Master's degree in Computer Science, Artificial ... Google Vertex AI * Docker * Kubernetes * MLflow * CI/CD Pipelines Databases & Vector Stores

Google

Data Center Technician II, 3PDC

Atlanta, GA · On-site

Experience diagnosing and troubleshooting one of the following: operating systems, computer/server ... TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems ...

HireITPeople

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

... Vertex AI, PyTorch). ● Design secure and compliant AI/ML solutions leveraging public cloud or ... Knowledge of integration standards and best practices for cloud and AI systems. Understanding of ...

Google

Data Center Technician III, 3PDC

Lagrange, GA · On-site

Experience with diagnosing and troubleshooting operating systems, computer hardware and server ... TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems ...

Waystar, Inc

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

... like Vertex AI, GKE, Cloud Functions, and Cloud Run. Implement robust MLOps practices for ... system performance. Qualifications Bachelor's or Master's degree in Computer Science, Machine ...

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Senior AI developer

Ova Technologies

Alpharetta, GA • On-site, Remote

Full-time

Medical

Re-posted 9 days ago

Job description

Job Title

Senior AI Developer

Location

[Remote/Hybrid/On-site]

Employment Type

Full-Time

Job Summary

We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of cutting-edge Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in AI/ML technologies, Generative AI, Large Language Models (LLMs), and cloud-based AI platforms. This role involves building scalable AI applications, mentoring team members, and collaborating with cross-functional teams to drive innovation and business value.

Key Responsibilities
  • Design, develop, and deploy AI/ML models and intelligent applications.
  • Build and optimize Generative AI solutions using Large Language Models (LLMs).
  • Develop AI-powered applications, chatbots, recommendation engines, and automation solutions.
  • Fine-tune, evaluate, and deploy machine learning and deep learning models.
  • Create scalable AI architectures and integrate AI services into enterprise applications.
  • Collaborate with product managers, engineers, and stakeholders to define AI-driven solutions.
  • Implement MLOps best practices for model deployment, monitoring, and maintenance.
  • Conduct research on emerging AI technologies and recommend innovative solutions.
  • Mentor junior developers and provide technical leadership on AI initiatives.
  • Ensure AI solutions meet security, compliance, and performance requirements.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • 6+ years of software development experience with at least 3+ years focused on AI/ML development.
  • Strong experience with Python and AI/ML frameworks.
  • Hands-on experience with Generative AI, LLMs, and prompt engineering.
  • Experience building and deploying machine learning models in production environments.
  • Strong understanding of machine learning algorithms, deep learning, NLP, and computer vision.
  • Experience with cloud AI services and distributed computing environments.
  • Excellent problem-solving, communication, and leadership skills.
Technical Skills AI/ML & Generative AI
  • Machine Learning, Deep Learning, NLP, Computer Vision
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • AI Agents and Autonomous Workflows
  • Model Fine-Tuning and Evaluation
Frameworks & Libraries
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face Transformers
  • LangChain
  • LlamaIndex
Programming Languages
  • Python
  • Java
  • JavaScript/TypeScript
  • SQL
Cloud & MLOps
  • AWS (SageMaker, Bedrock)
  • Azure AI Services
  • Google Vertex AI
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD Pipelines
Databases & Vector Stores
  • PostgreSQL
  • MongoDB
  • Redis
  • Pinecone
  • Weaviate
  • ChromaDB
Preferred Qualifications
  • Experience with multi-agent AI systems and agent orchestration frameworks.
  • Knowledge of AI governance, responsible AI, and model monitoring.
  • Experience with vector databases and semantic search solutions.
  • Familiarity with enterprise integrations, APIs, and microservices architecture.
  • Contributions to AI research, open-source projects, or published technical content.
Soft Skills
  • Strong leadership and mentoring capabilities.
  • Excellent analytical and critical-thinking skills.
  • Ability to communicate complex AI concepts to technical and non-technical stakeholders.
  • Strong collaboration and stakeholder management skills.
  • Continuous learning mindset with a passion for emerging AI technologies.
Benefits
  • Competitive salary and bonus structure.
  • Comprehensive health and wellness benefits.
  • Flexible work arrangements.
  • Professional development and certification support.
  • Opportunity to work on innovative AI and Generative AI initiatives.

Apply