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Senior ML Ops Engineer – LLM Ops, Analytics as Service, Consulting
PwCML Ops & LLM Ops Engineer delivering managed services that enhance business efficiency for diverse clients. Managing service delivery and optimizing operations within global teams.
About the role
Key responsibilities & impact- Managing and optimizing managed services processes to enhance client operations and efficiency
- Leading the transition and execution of service delivery teams, confirming alignment with client objectives
- Utilizing project management skills to oversee delivery timelines and manage performance risks
- Implementing continuous improvement strategies to refine tools and services within managed services
- Developing and maintaining client relationships to understand and anticipate their needs
- Applying analytical thinking to interpret data and provide actionable insights and recommendations
- Designing and developing automation frameworks to streamline business processes
- Collaborating with stakeholders to identify opportunities for business process improvement and transformation
- Upholding professional and technical standards in line with firm guidelines and client expectations
- Mentoring junior team members to foster growth and enhance team capabilities
Requirements
What you’ll need- At least a Bachelor's degree
- At least 5 years of experience
- Oral and written proficiency in English required
Benefits
Comp & perks- Hands on exp in ML Ops/LLM Ops
- AWS Cloud & Infrastructure
- MLOps & LLMOps
- DevOps & CI/CD
- Model & Artifact Versioning
- Secure Deployments
- Observability & Release Governance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Process ImprovementPerformance Risk ManagementData InterpretationContinuous Improvement StrategiesService Delivery Management
Soft Skills
MentoringCollaborationCommunication
Certifications
Bachelor's Degree