Senior ML Ops, LLM Ops Engineer – Analytics as Service

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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PwC

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

⚖️ Legal

📣 Marketing

💰 Grant on 2023-10

Consulting • Legal • Marketing

PwC is a global network of professional services firms that provides audit and assurance, tax, consulting, deals, forensics, and advisory services to businesses, governments and institutions. It helps clients with digital transformation, AI, sustainability, risk management and regulatory compliance, delivering industry-focused solutions and managed services across sectors worldwide.

📋 Description

• Manage and optimize managed services processes and tools to enhance client operations • Lead delivery teams executing service management strategies and performance improvement initiatives • Use project management skills to streamline operations and reduce client costs • Develop and implement automation frameworks to improve service delivery and operational efficiency • Engage stakeholders to identify business process improvement and transformation opportunities • Analyze complex data to inform insights and recommendations for continuous process improvement • Uphold professional and technical standards in client engagements • Collaborate with clients to understand needs and deliver tailored managed services solutions • Mentor junior team members and engineers • Own deployment architecture for AI solutions on AWS • Design and own CI/CD, Infrastructure as Code, and release standards across engagements • Lead integration of AI solutions into legacy and regulated environments, respecting identity, security, and governance • Set up scalable model and agent serving with vector and retrieval infrastructure • Establish observability, evaluation, and cost controls for production AI workloads • Define security, governance, and responsible-AI approaches for deployments • Build reusable deployment accelerators and mentor engineers • Bring field learnings and product gaps back to the wider practice • Serve as the technical owner for deployment while embedded with an enterprise customer’s team

🎯 Requirements

• Substantial DevOps or platform engineering experience with ownership of production deployments • Deep CI/CD, Docker, and Kubernetes experience • Strong Terraform / Infrastructure as Code experience • Strong AWS fluency across deployment-relevant services • Strong grounding in identity, security, networking, and enterprise integration • Solid automation skills and experience codifying build and run processes • Deep hands-on experience deploying LLM and agentic applications to production (LLMOps) • Experience with serving, scaling, retrieval infrastructure, observability, evaluation, and responsible AI • Preferred: Enterprise AI platforms including Palantir Foundry, Databricks, and Snowflake • Preferred: MLOps tooling at scale • Experience in regulated industries preferred • SRE or reliability experience preferred • Prior consulting, customer success, or forward-deployed work preferred • AWS Certified DevOps Engineer – Professional and/or AWS Certified Solutions Architect – Professional; CKA or a cloud AI/ML certification preferred • Technical skills: AWS Bedrock, SageMaker, Lambda, ECS, EKS, Step Functions, S3, API Gateway, IAM, CloudWatch • Technical skills: Docker, Kubernetes, Helm, Terraform, Ansible • Technical skills: GitHub Actions, GitLab CI, Jenkins, ArgoCD • Technical skills: model and agent serving and scaling, RAG, vector databases, evaluation, prompt versioning • Technical skills: OpenTelemetry, Langfuse, Prometheus, Grafana • Technical skills: secrets management, network security, responsible-AI controls • Scripting: Python, Go, Bash • Good to have: MLflow, model registries, feature stores, Databricks, Snowflake, Palantir Foundry • 6–9 years of experience required • Must overlap with client business hours, including US / EST

🏖️ Benefits

• Hands-on learning opportunities • Cutting-edge tools • Inclusive culture • Skill growth and professional development • Mentoring and professional growth opportunities • Client-facing experience across global teams