Canon Recruiting Group

Title: Implementation Services Analyst (Pension Specialist) - Fully Remote Duration: 6-Month Contract Pay Rate: Up to $33/hr. Location: Fully Remote (Based in Tampa, FL) Position Overview: We are seeking an experienced Implementation Services Analyst to support pension administration system implementations and migrations. This role requires a strong understanding of pension processes, system testing, and project coordination, with the ability to translate business needs into clear technical requirements. Key Responsibilities: - Support pension administration processes, including manual pension calculations, processing election forms, and loading pension data into systems. - Develop clear and detailed requirements for system programmers to ensure accurate implementation of business needs. - Participate in system implementation projects, ensuring alignment between deliverables and overall project goals. - Create and execute comprehensive test plans, including identifying edge cases and developing test scenarios based on both existing and missing data. - Support system migration projects, assisting with planning, coordination, and execution. - Collaborate with cross-functional teams to troubleshoot issues and ensure successful project delivery. Required Qualifications: - Hands-on experience in pension administration (non-call center, non-actuarial). - Experience with system implementations and writing functional/technical requirements. - Strong system testing experience, including test plan creation and test case development. - Experience supporting or leading system migration projects. - Strong verbal communication skills with the ability to ask effective questions and quickly learn new processes. Preferred Skills: - Strong analytical and problem-solving abilities. - Detail-oriented with the ability to manage multiple priorities. - Experience working in fast-paced, project-driven environments.

Role Description This is a high-stakes, execution-focused role within 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-cloud environment. Key Responsibilities - Multi-Cloud Pipeline Execution: Build and maintain automated CI/CD and CT (Continuous Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio). - LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, 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 cloud-native 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: Deploy real-time monitoring for model drift, hallucination detection, latency, and token consumption to manage both quality and cost. - Infrastructure as Code (IaC): Manage all AI resources using Terraform or CloudFormation, ensuring the cloud posture is reproducible, secure, and follows a "Privacy by Design" mandate. - Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or Snowflake to ensure a high-fidelity data flow between analytical ontologies and production models. - IT & Security Diplomacy: Work directly with central IT and Security 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 (Docker/Kubernetes) and serverless architectures where appropriate. - Prompt & 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. - Security & Compliance Hardening: Implement automated scanning and guardrails (e.g., Bedrock Guardrails or Azure Content Safety) to prevent prompt injection and data leakage. Qualifications - Education: Bachelor’s degree in computer science or a related 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 able to configure Bedrock and Azure OpenAI services, including private networking and endpoint security, on day one. - Technical Stack: Expert Python, SQL, and PySpark. Extensive experience with containerization (Docker, Kubernetes) and orchestration tools (Airflow, Kubeflow, or Step 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 Mindset: The ability to move at the speed of a startup while maintaining the collaborative relationships required to function within a large-scale enterprise IT landscape. Working Conditions - May on occasion be exposed to loud sounds and distracting noise levels, such as from office equipment. - The ability to lift up to 30lbs. - Use of computers and technology. Benefits - Health care and 401(k) savings plans.

Role Description Curative Associate - mid-level curative experience handling real property transactions. Responsibilities include: - Reviewing abstract title examinations for liens, encumbrances, judgments, vesting, deed prep, legal descriptions, and other title-related issues. - Understanding payoffs, real property taxes, voluntary and involuntary lien extinguishment requirements, and taking action to clear any conditions using underwriting guidelines for all 50 states; TDI/Texas, Florida, and Georgia is a plus. - Skilled at working directly with lenders, creditors, and third parties to extinguish title matters in order to issue title insurance. - Managing a pipeline of orders and clearing title within given SLAs. - Communicating via integration system tasking or emails. - Collaborating with other title agencies or counties. Qualifications - Customer service skills - 2 years title insurance curative experience required - Problem-solving skills - Strong organizational skills - Knowledge of MS Office suite - Excellent verbal/written communication skills - Able to maintain professionalism and a positive service attitude at all times - Strong detail orientation - Knowledge of company and/or client operating systems Requirements - High School Diploma or equivalent - Ability to lift up to 30lbs - Use of computers and technology Benefits - Health care - 401(k) savings plans

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Licensed Vocational Nurse (LVN) to provide temporary Utilization Review (UR) support during a leave of absence. The Utilization Review Nurse is responsible for reviewing medical records and treatment requests to determine the medical necessity of services based on evidence-based guidelines and workers’ compensation regulations. - Review medical records and treatment requests to determine medical necessity based on evidence-based guidelines and best practices. - Identify diagnoses and evaluate treatment plans against appropriate care algorithms. - Apply guidelines such as MTUS, ACOEM, MCG, ODG, and state-specific treatment standards during case review. - Identify potential over-utilization and collaborate with providers when treatment modifications are appropriate. - Refer cases requiring non-certification to physician peer reviewers. - Coordinate peer-to-peer discussions between treating providers and reviewing physicians when necessary. - Authorize appropriate inpatient and outpatient procedures. - Communicate utilization review determinations to claims examiners, providers, attorneys, and other stakeholders within required regulatory timelines. - Summarize medical records and present case recommendations to physician advisors or peer reviewers. - Identify cases requiring medical case management and recommend referrals through the supervisor. - Collaborate with clients, claims teams, nurse case managers, and supervisors to ensure effective case management. - Support oversight of assigned non-clinical staff tasks when required. - Assist with notification processes for treatment non-certifications issued by physician reviewers. Qualifications - Licensed Vocational Nurse (LVN) - Minimum 3 years of clinical experience. - Strong understanding of medical terminology and clinical documentation. - Ability to manage multiple cases and priorities in a fast-paced environment. - Strong organizational, time management, and communication skills. - California Workers’ Compensation experience. - Utilization Review or Managed Care experience. - Familiarity with California Workers’ Compensation regulations. - Completion of IEA CA10 certification within one year of employment. - Strong attention to detail and analytical skills. - Ability to multitask and adapt to changing priorities. - Excellent organizational and time management skills. - Ability to collaborate with providers, clients, and internal teams. - Self-motivated with the ability to work independently in a remote environment. Requirements - May on occasion be exposed to loud sounds and distracting noise levels, such as from office equipment. - The ability to lift up to 30lbs. - Use of computers and technology. Benefits - Health care and 401(k) savings plans.