ML Engineer

Sciforium is an AI infrastructure company developing multimodal AI models and a high-efficiency serving platform. The ML Engineer will architect, scale, and optimize end-to-end multimodal generative AI systems across serving, post-training, and agentic frameworks while driving technical optimizations and MLOps improvements.

Responsibilities:

• Design and implement intelligent systems that can reason, plan, and execute complex multi-step workflows. Develop architectures that combine LLMs, retrieval systems, memory, tools, and feedback loops. Build orchestration frameworks for multi-agent and tool-based systems. Develop evaluation frameworks that measure accuracy, reliability, latency, and task completion
• Rapidly benchmark, adapt, and integrate state-of-the-art open-weights models into production runtimes. Build automated MLOps tooling to profile deep learning workloads against theoretical hardware limits to drive optimization
• Drive technical evangelism and elevate Sciforium’s presence in the global AI ecosystem through high-impact community engagement. Actively contribute code, features, and optimizations to high-visibility open-source repositories. Author and publish deep-dive technical blogs, whitepapers, and architecture breakdowns showcasing the novel innovations and complex problem-solving happening at Sciforium