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UltaHost is investing heavily in AI-powered hosting innovation. We are looking for a skilled AI/ML Engineer to develop, train, and deploy machine learning models across our infrastructure. You will work on systems that power fraud detection, support automation, content generation, and UltaBuilder AI — our upcoming AI website builder. You will collaborate with product managers, backend engineers, and the infrastructure team to design scalable models that enhance customer experience and internal efficiency.
Job Responsibility:
Design, train, and optimize machine learning models for fraud detection, support automation, and user behavior analytics
Collaborate on building UltaBuilder AI, generating website content, layout, and structure from user prompts
Deploy models using scalable architectures, APIs, and GPU/CPU clusters
Clean, label, and process large datasets collected from user interactions and system logs
Implement continuous training and evaluation loops for production-grade models
Work with AI Prompt Engineers and Product Managers to improve LLM integration and hybrid pipelines
Monitor model performance, retrain as needed, and ensure security and bias control
Contribute to AI documentation, model registry, and evaluation frameworks
Requirements:
3+ years of experience in Machine Learning or Data Science
Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks
Strong understanding of supervised, unsupervised, and reinforcement learning
Experience building and deploying models via REST APIs or microservices
Familiarity with data labeling tools, model tuning, and vector embeddings
Experience working with large datasets and cloud infrastructure (AWS, GCP, or self-hosted clusters)
Solid mathematical foundation in statistics, optimization, and probability
Fluent in English and capable of writing clean, well-documented code
Nice to have:
Experience working with LLMs like OpenAI, Mistral, Claude, or open-source models
Knowledge of fraud detection logic in SaaS, hosting, or fintech
Experience with NLP tasks: classification, summarization, or embedding generation
Familiarity with vector databases, prompt engineering, or retrieval-augmented generation (RAG)
Previous work with AI-driven website builders, chatbots, or smart support agents
What we offer:
Competitive salary and performance-based bonuses
Equity or token options based on project impact
Remote work flexibility
Access to cutting-edge infrastructure, compute resources, and GPU training environments
Opportunity to build AI systems used by thousands of global customers daily