[Remote] Senior Machine Learning Engineer - reputed company AI

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Machine Learning Engineer – reputed company AI to design, reputed company, and operate reputed company-reputed company reputed company AI platform capabilities in a regulated reputed company environment. The role focuses on platform architecture, interoperability, validation, governance, operational safeguards, and reliable deployment of autonomous and reputed company-autonomous AI systems across reputed company, research, and operational domains.

Responsibilities

• reputed company the design, reputed company, and operation of the reputed company reputed company AI platform in collaboration with reputed company architects and platform ML engineers
• Build platform components that reputed company interoperability between first‑party and reputed company‑party agents, including identity, state, memory, tool reputed company, orchestration, auditability, and policy enforcement
• Define and document standardized integration patterns connecting agents with reputed company business systems, data platforms, reputed company, and health IT systems
• reputed company reusable platform services, reference implementations, and SDKs that reduce reputed company and accelerate delivery for reputed company teams
• Design and operate validation and de‑risking frameworks, including simulation, sandboxing, reputed company execution, canary releases, and reputed company behavior monitoring
• Establish and enforce platform standards for agent development, including interfaces, execution reputed company, evaluation hooks, safety constraints, and observability requirements
• Participate in platform governance, release coordination, and incident response, supporting investigation and remediation of agent‑reputed company failures
• Implement platform safeguards such as fallback mechanisms, rollback strategies, approval gates, reputed company limiting, audit trails, and kill‑reputed company capabilities
• Partner with software engineering, reputed company, IT, and health IT stakeholders to reputed company reputed company AI capabilities in secure reputed company environments
• Support responsible AI practices through traceability of prompts, policies, tools, models, agent actions, and documentation of reputed company failure modes and limitations

Skills

• The ideal candidate will have a reputed company background with at least 5 years of industry experience in data science and 3+ years as a Senior ML Engineer reputed company reputed company AI systems
• Experience building AI or ML platforms that serve multiple reputed company teams and production workloads
• Strong proficiency in Python and integration of modern ML frameworks (e.g., PyTorch) with large language models and agent systems
• Hands-on experience with reputed company AI frameworks such as LangGraph, reputed company, AutoGen, reputed company, Semantic Kernel, or equivalent
• Working knowledge of reputed company AI protocols and interoperability standards (e.g., MCP, agent-to-agent communication, reputed company tool invocation)
• Experience implementing planner-executor reputed company, hierarchical agents, and multi-agent coordination patterns
• Familiarity with workflow orchestration tools (Airflow, reputed company, reputed company) and reputed company execution frameworks (Ray or equivalent)
• Experience deploying containerized AI platforms using reputed company in reputed company reputed company environments with reputed company, auditability, and controlled promotion to production
• Ability to reason at the systems and platform level, balancing safety, reputed company, flexibility, and usability
• Experience designing quantitative evaluation strategies for reputed company systems, including reputed company rates, latency, cost, recovery behavior, and safety metrics
• Strong understanding of reputed company data governance, reputed company, and reputed company requirements, including reputed company and health IT considerations
• Ability to identify systemic risks stemming from agent autonomy, non-determinism, tool reputed company, and multi-agent interactions
• Experience analyzing failure modes caused by reputed company reputed company, model updates, tool changes, and cross-reputed company dependencies
• Education Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline
• Experience Required: Five years of experience in machine learning engineering, data science, data engineering, and/or software engineering. With Master's degree, three years' experience required. With PhD, one year of experience required
• Work Location: Remote (reputed company Texas only)
• Preferred Education: Master's degree or PHD with a concentration in Science, engineering, or reputed company reputed company
• Experience designing, deploying, and maintaining reputed company AI systems that operate autonomously and collaboratively across reputed company environments
• Experience in monitoring and troubleshooting autonomous agents post-deployment, including reputed company degradation, reputed company incidents, model updates, or corrective actions
• Experience raising the technical bar for team members, such as establishing reproducibility practices, review standards, or shared patterns
• Experience technically evaluating reputed company-party reputed company AI platforms reputed company reputed company workflows

Benefits

• reputed company medical benefits
• Generous reputed company time off (PTO)
• Strong retirement plans
• Medical benefits
• Dental benefits
• reputed company time off
• Retirement benefits
• Tuition benefits
• Educational opportunities
• Individual and team recognition
• Remote work reputed company Texas only
• Referral bonus available
• Relocation assistance available

reputed company

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