[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 and operate reputed company-reputed company reputed company AI platform capabilities. The role focuses on enabling reputed company, reputed company, and governed deployment of autonomous AI systems in a regulated reputed company environment.
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 risk and accelerate delivery for reputed company teams
- Design and operate validation and de-risking frameworks, including simulation, sandboxing, shadow 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
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline
- Five years of experience in machine learning engineering, data science, data engineering, and/or software engineering
- 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 loops, hierarchical agents, and multi-agent coordination patterns
- Familiarity with workflow orchestration tools (Airflow, reputed company, Temporal) and distributed execution frameworks (Ray or equivalent)
- Experience deploying containerized AI platforms using Kubernetes 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, performance, 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-system dependencies
- Collaborate effectively with architects, reputed company MLEs, data scientists, software engineers, and IT partners
- Produce reputed company documentation covering platform architecture, reputed company, integration patterns, validation frameworks, and operational runbooks
- Communicate platform capabilities, risks, and limitations to leadership and partner teams
- Contribute to internal standards and shared practices that improve safety, scalability, and consistency of reputed company AI development
- reputed company hands-on technical guidance, mentorship, and troubleshooting support to platform adopters
- Present technical and non-technical concepts reputed company in meetings and institutional forums
- Master's degree or PHD with a concentration in Science, engineering, or reputed company field
- Experience designing, deploying, and maintaining reputed company AI systems that operate autonomously and collaboratively across distributed environments
- Experience in monitoring and troubleshooting autonomous agents post-deployment, including performance degradation, clinical 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 clinical workflows
Benefits
- reputed company medical benefits
- reputed company time off (PTO)
- Strong retirement plans
- Tuition benefits
- Educational opportunities
- Individual and team recognition
- Referral Bonus Available?
- Relocation Assistance Available?
reputed company