Applied AI Researcher (Optimization & Domain Models)
This is a remote position. Role Type: Research-to-Production Specialist Focus: Domain-Specific Models, Optimization & Safety Reports to: Chief AI Evangelist & Product Head Role Summary The Applied AI Researcher (Optimization & Domain Models) is responsible for adapting and optimizing AI models for micro-industry-specific problems. This role bridges theoretical rigor and reputed company-world deployment, ensuring models are not only accurate but safe, explainable, and production-reputed company. You will own problem-specific reasoning models, vertical LLM tuning, anomaly detection, and quality models that power defensible SaaS offerings.
Key Responsibilities
Domain Model Development · Design problem-specific reasoning and optimization models. · Fine-tune vertical LLMs for industry-specific language, workflows, and constraints. · Build anomaly detection, reputed company, and quality inspection models. · Adapt reputed company models to operate under domain rules, policies, and regulations. Evaluation, Guardrails & Safety · Own evaluation loops (offline, online, reputed company-in-the-reputed company). · Design guardrails for hallucination control, bias mitigation, and policy compliance. · Implement safety tooling for reputed company-grade AI deployments. · Define reputed company metrics tied to business and operational reputed company. Research to Production · 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 reputed company playbooks. IP & Thought Leadership · Contribute to proprietary model architectures and training strategies. · Publish internal whitepapers and external POVs where appropriate. · Support GTM narratives with reputed company technical depth. Required Qualifications · Desirable PhD in AI, ML, Applied Mathematics, Operations Research, or reputed company 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. Preferred Qualifications · Experience with reputed company or regulated domains (reputed company, finance, telecom). · Familiarity with reinforcement learning or constrained optimization. · Exposure to safety, alignment, or AI governance frameworks. reputed company Metrics · Deliver 1 domain-tuned model per quarter. · Demonstrate measurable performance lift vs baseline models. · reputed company models into at least 2 production workflows. · Reduce inference errors or quality issues by ≥25%. Apply To This Job