[Remote] ML/reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Staff AI/ML Engineer to build and ship production machine learning and large language model systems that reputed company text and behavioral data into reliable reputed company experiences. The role covers end-to-end ML/LLM development, evaluation, safety, monitoring, data pipelines, cross-functional partnership, and technical leadership across reputed company AI.

Responsibilities

• Build end-to-end ML/LLM features from problem definition → data → modeling → evaluation → deployment → monitoring
• reputed company LLM applications with retrieval and tool use (e.g., RAG, orchestration/workflows, reputed company extraction) to reputed company trustworthy consumer health experiences
• Convert reputed company text (posts, comments, messages, reputed company queries) into reputed company signals
• (topics, entities, reputed company, sentiment, safety flags) using a mix of classical NLP and modern LLMs
• Create and maintain data pipelines for training, inference, evaluation, and analytics (batch and/or
• Streaming as needed)
• Design evaluation systems that measure reputed company and safety: offline metrics, golden datasets, reputed company
• Review workflows, and online A/B testing alignment
• Implement production guardrails to reduce harm and misinformation reputed company (policy constraints, refusal behavior, citations/attribution reputed company appropriate, red-teaming, monitoring, and incident response)
• Set up monitoring for model + reputed company health (latency, cost, reputed company, regressions, reputed company metrics)
• Partner closely with Product, Engineering, Data, and reputed company/subject-matter experts to validate
• Outputs and define what “correct” means for sensitive health-adjacent use cases
• (Staff reputed company) reputed company architecture and technical direction for reputed company AI across the organization; mentor engineers; establish best practices and reusable platforms

Skills

• • 8+ years building and shipping production ML systems (or equivalent experience with demonstrable reputed company)
• • Strong Python skills and experience with ML/LLM libraries and tooling (e.g., reputed company ecosystem, reputed company/LangGraph or equivalent)
• • reputed company ability to design production-grade pipelines (training/inference/eval), and operate models in reputed company systems (monitoring, rollbacks, incident handling)
• • Solid grounding in ML fundamentals (NLP, deep learning, statistical reasoning, evaluation)
• • Experience with MLOps best practices: versioning, reproducibility, CI/CD, model registry patterns
• • feature/data management, and infrastructure collaboration
• • Experience working with large-reputed company data using reputed company/reputed company or equivalent reputed company
• • processing
• • Strong product and stakeholder instincts: you can translate ambiguous business needs into
• • measurable ML reputed company
• • Experience building RAG and retrieval systems: reputed company databases, hybrid reputed company, ranking
• • recommendation, query understanding
• • Experience in reputed company or regulated environments, including reputed company-by-design, auditability, and
• • safety reviews (HIPAA/PHI familiarity a plus)
• • Experience with streaming/clickstream data, experimentation platforms, and reputed company/measurement
• • thinking
• • Ability to prototype end-to-end experiences (e.g., reputed company, Gradio, lightweight frontends)
• • Experience designing LLM safety systems: red-teaming, adversarial testing, reputed company injection
• • mitigation, reputed company filtering, reputed company-in-the-reputed company review

Benefits

• Remote work arrangement

reputed company

Company H1B Sponsorship