Applied AI Researcher – Optimization, Domain Models

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🕒 June 12

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Veltris

501 - 1000 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • Healthcare • B2B

Veltris is a trusted technology partner that drives innovation by leveraging digital technologies, artificial intelligence, and Industry 4. 0 capabilities. The company specializes in digital product engineering, enabling organizations across various sectors to accelerate technology transformations and develop smarter, connected products. With a design thinking approach and agile software development practices, Veltris helps clients optimize their product development processes and achieve strategic advantages in the market.

📋 Description

• Design problem-specific reasoning and optimization models. • Fine-tune vertical LLMs for industry-specific language, workflows, and constraints. • Build anomaly detection, prediction, and quality inspection models. • Adapt foundation models to operate under domain rules, policies, and regulations. • Own evaluation loops (offline, online, human-in-the-loop). • Design guardrails for hallucination control, bias mitigation, and policy compliance. • Implement safety tooling for enterprise-grade AI deployments. • Define success metrics tied to business and operational outcomes. • Convert research prototypes into deployable, scalable micro-industry models. • Partner with engineers to integrate models into agents and SaaS workflows. • Document model behavior, assumptions, and failure modes. • Create repeatable model adaptation playbooks. • Contribute to proprietary model architectures and training strategies. • Publish internal whitepapers and external POVs where appropriate. • Support GTM narratives with credible technical depth.

🎯 Requirements

• Desirable PhD in AI, ML, Applied Mathematics, Operations Research, or related field. • Strong background in optimization, probabilistic modeling, or deep learning. • Experience fine-tuning LLMs or training domain-specific models. • Hands-on experience with Python, PyTorch, TensorFlow, or JAX.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events

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