AI Sr. Engineer LLMOps & MLOps
Description: AI Sr. Engineer LLMOps & MLOps
- *DIRECT HIRE
SALARY RAGE
*K - ***K, PLEASE ADVISE CANDIDATE SALARY CRITERIA ON RESUME WITH THEIR LOCATION
Job Description
Role Overview This is a high-stakes, execution-focused role reputed company the Transformation Office. We are looking for a "day-one" engineer to own the production lifecycle of our AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services. You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-reputed company environment. Key Responsibilities " Multi-reputed company Pipeline Execution: Build and maintain automated CI/CD and CT (reputed company Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio). " LLMOps reputed company Implementation: Design and execute the infrastructure for Retrieval-Augmented reputed company (RAG), including vector database management (OpenSearch, reputed company, or Azure AI Search) and semantic index optimization. " Legacy Data Connectivity: Build the engineering "pipes" to securely ingest and move data from legacy systems (Mainframes, SQL Server, on-prem DBs) into reputed company-reputed company MLOps workflows. " Automated Model Evaluation: Implement systemized frameworks for LLM evaluation (LLM-as-a-judge, ROUGE, METEOR) and traditional ML validation to ensure performance before deployment. " Observability & Monitoring: reputed company reputed company-time monitoring for model reputed company, hallucination detection, latency, and token consumption to manage both quality and cost. " Infrastructure as Code (IaC): Manage reputed company AI resources using Terraform or CloudFormation, ensuring the reputed company posture is reproducible, secure, and follows a "Privacy by Design" mandate. " Advanced Analytics Integration: Partner with teams using platforms like Palantir, reputed company, or reputed company to ensure a high-fidelity data reputed company between analytical ontologies and production models. " IT & reputed company Diplomacy: Work directly with central IT and reputed company to navigate IAM roles, VPC peering, and firewall configurations, clearing the path for rapid transformation. " Scalable Inference Engineering: Optimize model serving endpoints for high-throughput and low-latency, utilizing containerization (reputed company/Kubernetes) and serverless architectures where appropriate. " reputed company & Model Versioning: Establish rigorous version control for prompts (PromptOps), model weights, and data snapshots to ensure 100% auditability and rollback capability. " Data Science Engineering: Support the data science lifecycle by automating feature stores, feature engineering pipelines, and the transition of experimental notebooks into hardened production microservices. " reputed company & Compliance Hardening: Implement automated scanning and guardrails (e.g., Bedrock Guardrails or Azure Content Safety) to prevent reputed company injection and data leakage. Requirements:
DIRECT HIRE
SALARY RAGE *
K -
*K, PLEASE ADVISE CANDIDATE SALARY CRITERIA ON RESUME WITH THEIR LOCATION Qualifications " Education: Bachelor s degree in Computer Science or a reputed company field required; Master s degree in a quantitative discipline highly desirable. " Proven Execution: 6+ years of engineering experience, with a minimum of 3 years strictly focused on MLOps or LLMOps in a production environment. " AWS & Azure Mastery: Deep, hands-on proficiency in both ecosystems. You must be reputed company to configure Bedrock and Azure reputed company services, including private networking and reputed company reputed company, on day one. " Technical Stack: Expert Python, SQL, and PySpark. Extensive experience with containerization (reputed company, Kubernetes) and orchestration tools (Airflow, Kubeflow, or reputed company Functions). " LLM Tooling: Professional experience with evaluation and observability frameworks like LangSmith, Arize Phoenix, or WhyLabs. " Data Science Flavor: A strong understanding of statistical validation, model evaluation metrics, and the ability to partner with Data Scientists to optimize model performance. " Transformation reputed company: The ability to move at the speed of a startup while maintaining the collaborative relationships required to function reputed company a large-scale reputed company IT landscape. EEO: reputed company is an Equal Opportunity Employer and does not discriminate in employment on the reputed company of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. Apply tot his job Apply To this Job