Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PwC

Senior ML Ops Engineer – LLM Ops, Analytics as Service, Consulting

PwC

ML Ops & LLM Ops Engineer delivering managed services that enhance business efficiency for diverse clients. Managing service delivery and optimizing operations within global teams.

Posted 7/10/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing and optimizing managed services processes, with a strong focus on client relationship development and project management. Proficient in designing automation frameworks and implementing continuous improvement strategies to enhance operational efficiency.

Highest-signal resume keywords
Managed Services OptimizationProject Management SkillsClient Relationship DevelopmentAutomation Framework DesignAnalytical Thinking

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Process ImprovementPerformance Risk ManagementData InterpretationContinuous Improvement StrategiesService Delivery Management
Soft Skills
MentoringCollaborationCommunication
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Client OperationsService Delivery TeamsBusiness Process TransformationProfessional StandardsTechnical Standards

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