We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments.<br>• Administer production Azure resources and help optimize performance, availability, and cost across hosted services.<br>• Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform.<br>• Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability.<br>• Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices.<br>• Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met.<br>• Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls.<br>• Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks.<br>• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.<br>• Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment.<br><br>Responsibilities:<br>• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.<br>• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.<br>• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.<br>• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.<br>• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.<br>• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.<br>• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.<br>• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems.<br>• Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels.<br>• Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems.<br>• Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions.<br>• Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems.<br>• Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance.<br>• Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses.<br>• Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls.<br><br>Responsibilities:<br>• Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight.<br>• Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors.<br>• Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes.<br>• Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency.<br>• Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions.<br>• Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements.<br>• Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures.<br>• Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics.<br>• Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p>We are looking for an experienced Senior Data Engineer who is ready to step into a Manager of Business Intelligence position to lead data strategy and reporting initiatives for a fast-paced organization in Dallas, Texas. This role will oversee the design of scalable analytics solutions, transform complex data into actionable insights, and support decision-making across the business. The ideal candidate brings strong expertise in business intelligence, data warehousing, and AWS-based data tools, along with the ability to guide technical delivery and business collaboration.</p><p><br></p><p>Responsibilities:</p><p>• Lead the development and management of business intelligence solutions that provide clear, timely insights for operational and strategic teams.</p><p>• Design, enhance, and maintain data warehouse structures that support reliable reporting, analytics, and long-term scalability.</p><p>• Build and optimize data integration workflows using AWS Glue, AWS Lambda, and related cloud technologies.</p><p>• Partner with cross-functional stakeholders to translate business questions into dashboards, reports, and data models that drive informed decisions.</p><p>• Establish reporting standards, data quality practices, and governance processes to improve consistency and trust in analytics outputs.</p><p>• Oversee the performance and availability of BI platforms, ensuring efficient access to critical business information.</p><p>• Guide the use of Python and other technical tools to automate data processes and improve reporting efficiency.</p><p>• Support enterprise reporting initiatives, including work related to reporting workbench capabilities and broader data platform enhancements.</p>
We are looking for a QA Technical Coordinator to join a food and food processing organization in El Segundo, California on a contract-to-permanent basis. This position focuses on strengthening food safety, quality programs, supplier compliance, and regulatory alignment so products consistently satisfy internal expectations, customer standards, and industry requirements. The role works closely with cross-functional teams, suppliers, and customers to address quality issues, support audits, and improve documentation and operating practices.<br><br>Responsibilities:<br>• Lead day-to-day coordination of quality assurance activities to support compliance with company standards, customer expectations, and applicable food industry regulations.<br>• Review quality and performance data, identify recurring issues or risk patterns, and help drive corrective and preventive actions that improve products and processes.<br>• Create, revise, and organize controlled quality documents such as procedures, work instructions, specifications, records, and technical summaries.<br>• Partner with teams across operations, research and development, supply chain, procurement, and regulatory affairs to advance product quality and continuous improvement efforts.<br>• Conduct supplier assessments, site inspections, incident reviews, and root cause investigations to strengthen compliance and operational effectiveness.<br>• Track supplier performance against food safety and customer quality requirements, and follow through on actions needed to close gaps.<br>• Support customer compliance activities for major retail and foodservice accounts by preparing documentation, responding to requests, and helping maintain account-specific standards.<br>• Assist with internal audits, third-party certification reviews, customer visits, and regulatory inspections by preparing records and coordinating follow-up actions.<br>• Compile quality metrics and compliance reporting for leadership while helping promote a culture centered on food safety, accountability, and ongoing improvement.
We are looking for a Software QA Analyst to join an Agile team in Florida, where quality is treated as a shared responsibility throughout the development lifecycle. This role is ideal for a testing specialist who can independently plan and execute validation activities, investigate issues thoroughly, and work closely with business analysts, developers, and client stakeholders. The position focuses on both manual and automated testing while helping ensure requirements are testable, releases are stable, and defect resolution stays on track.<br><br>Responsibilities:<br>• Develop and manage detailed test scenarios and test cases based on business needs, user stories, and acceptance criteria.<br>• Perform manual testing across multiple sprint deliverables while maintaining clear visibility into progress, risks, and priorities.<br>• Run and support automated test coverage using Selenium and related QA tools to improve consistency and efficiency.<br>• Document defects with precise reproduction steps, supporting evidence, impact details, and environment information so issues can be resolved quickly.<br>• Re-test resolved issues and complete regression validation to confirm changes do not negatively affect existing functionality.<br>• Take an active role in Agile ceremonies by contributing testing insight during daily stand-ups, refinement sessions, planning meetings, and retrospectives.<br>• Partner with business analysts and developers to review requirements early, identify gaps in testability, and reduce downstream rework.<br>• Assist with release readiness activities, including pre-deployment coordination and post-release smoke testing.<br>• Support client-facing testing efforts by guiding users through validation activities, helping triage reported issues, and coordinating next steps for resolution.<br>• Contribute ideas that strengthen QA practices, improve team standards, and enhance overall product quality.