We are looking for a highly skilled and motivated Senior Data Scientist to join our Enterprise Analytics team on a contract basis in Columbus, Ohio. In this role, you will leverage advanced data science techniques to uncover opportunities for improving customer experiences and driving business growth. You will work closely with cross-functional teams, including marketing, product, finance, and senior leadership, to deliver actionable insights and performance analytics. This position offers a unique chance to influence strategic decision-making and contribute to high-visibility projects.<br><br>Responsibilities:<br>• Analyze customer, product, channel, and digital data to identify opportunities for enhancing consumer experiences and delivering customer value.<br>• Develop and implement data-driven models and experiments to answer complex business questions.<br>• Conduct research on emerging techniques in machine learning, artificial intelligence, and advanced analytics.<br>• Create intuitive data visualizations and compelling data stories to communicate insights to diverse stakeholders.<br>• Collaborate with teams across the organization to align analytics efforts with business objectives.<br>• Deliver actionable recommendations to product teams and senior leadership based on data analysis.<br>• Partner with Agile development teams to support projects throughout their lifecycle, from ideation to implementation.<br>• Ensure the quality and accuracy of data used in analyses and models.<br>• Stay updated on the latest tools and methodologies in data science and analytics to enhance team capabilities.
<p>Are you a data-driven professional passionate about turning raw data into actionable insights? We are seeking a <strong>Data Scientist</strong> to join our team in <strong>Phoenix, AZ</strong>. In this role, you will apply your analytical expertise and machine learning knowledge to solve complex business challenges, drive innovation, and deliver data-backed results.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze and interpret complex datasets to identify trends, patterns, and insights that support decision-making </li><li>Design and implement predictive models and machine learning algorithms to optimize processes and improve business performance.</li><li>Collaborate with cross-functional teams, including data analysts, engineers, and business leaders, to identify and solve key business problems.</li><li>Develop and maintain databases, data pipelines, and ETL processes.</li><li>Visualize data findings through dashboards and reports to effectively communicate insights to both technical and non-technical stakeholders.</li><li>Ensure data quality, accuracy, and privacy standards are met in compliance with company and regulatory standards.</li><li>Stay current with emerging technologies, tools, and best practices in data science and machine learning.</li></ul><p><br></p>
<p>We are looking for an innovative AI Engineer to join our team. In this role, you will design and implement AI-driven solutions that address operational challenges and enhance efficiency across various departments. This position requires close collaboration with cross-functional teams to develop scalable, secure, and impactful AI systems that align with business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models to optimize workflows in manufacturing, sales, marketing, human resources, and other business functions.</p><p>• Design and refine intelligent systems and prompts to enhance customer interactions, employee support, and operational processes.</p><p>• Collaborate with different business units to identify AI opportunities and deliver tailored solutions that address their specific needs.</p><p>• Integrate structured and unstructured data into AI models to provide actionable insights and improve decision-making.</p><p>• Evaluate and utilize approved AI tools, frameworks, and databases to meet business objectives effectively.</p><p>• Share knowledge and best practices for AI tools and workflows with colleagues to support informal learning and skill development.</p><p>• Document AI workflows, model architectures, and processes to ensure transparency and facilitate knowledge sharing within the organization.</p><p>• Stay updated on emerging AI technologies and techniques to continuously enhance the effectiveness of deployed solutions.</p><p>• Provide technical input on the adoption of tools and platforms while ensuring their alignment with organizational goals.</p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for a skilled Generative AI Analyst/Prompt Engineer to join our team on a contract basis in New York, New York. In this role, you will leverage your expertise in data science and artificial intelligence to develop and optimize innovative solutions. This position is an excellent opportunity to work in the financial services industry while applying cutting-edge AI technologies to real-world challenges.<br><br>Responsibilities:<br>• Design, implement, and optimize AI-driven models and solutions tailored to business needs.<br>• Develop and maintain scalable data pipelines and workflows using tools like Apache Kafka, Spark, and Hadoop.<br>• Write and debug Python code, utilizing Jupyter Notebooks for effective data analysis and visualization.<br>• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.<br>• Research and experiment with state-of-the-art generative AI techniques to improve system performance.<br>• Build and manage APIs to facilitate seamless communication between applications and AI models.<br>• Utilize cloud-based technologies, including AWS, to deploy, scale, and monitor AI solutions.<br>• Visualize complex data insights through effective data visualization techniques and tools.<br>• Implement algorithms that solve specific business problems in a robust and efficient manner.
<p><strong>Job Title:</strong> Data Analytics Specialist – SAP Data Governance & Quality</p><p> <strong>Service Type:</strong> Temporary, 44 Week Contract</p><p> <strong>Location:</strong> Remote (Must be located in EST or CST)</p><p><strong>Position Overview</strong></p><p>Are you passionate about data? Do you find joy in transforming raw information into meaningful insights? If so, we invite you to apply for the role of <strong>SAP Data Analytics Specialist</strong>. This position plays a key role in preparing for our migration to SAP S/4HANA by ensuring the integrity, accuracy, and optimization of data across SAP systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Profiling:</strong> Analyze SAP data for quality, consistency, and completeness. Identify patterns, anomalies, and areas for improvement.</li><li><strong>Data Quality Management:</strong> Develop and apply data quality rules, perform validation checks, and recommend corrective actions.</li><li><strong>Data Governance:</strong> Collaborate with stakeholders to uphold data governance standards and promote best practices.</li><li><strong>Data Migration & Integration:</strong> Support SAP data migration efforts, ensuring clean and structured data, and assist with data mapping and integration.</li><li><strong>Reporting & Analytics:</strong> Create and maintain dashboards and reports to monitor KPIs related to data quality and system performance.</li><li><strong>Cross-Functional Collaboration:</strong> Partner with SAP functional teams (e.g., MM, SD, FICO) to resolve data issues and implement data-driven solutions.</li><li><strong>Continuous Improvement:</strong> Contribute to process enhancements that improve data accuracy and system efficiency.</li><li><strong>Documentation & Training:</strong> Document methodologies and procedures; assist in developing training materials for data management processes.</li></ul><p><br></p><p><strong>What You Will Learn</strong></p><ul><li>How to transform raw data into high-quality, fit-for-purpose assets.</li><li>How to collaborate across departments to unlock the value of enterprise data.</li><li>The strategic role data plays in driving business decisions.</li><li>Best-in-class tools and techniques that will elevate your career.</li></ul><p><br></p>
<p>We’re looking for a software engineer with a strong foundation in Python and deep experience in Artificial Intelligence and Machine Learning, particularly in the areas of Large Language Models (LLMs) and Computer Vision. The right candidate will have a proven track record of building, testing, and scaling Python-based systems, along with a solid grasp of AI/ML methodologies and their practical applications. </p><p><br></p><ul><li>Analyze software requirements and evaluate technical solutions to meet functional goals.</li><li>Stay current with emerging research and publicly available models in LLMs, Computer Vision, and multimodal AI.</li><li>Collaborate with peers to assess and refine proposed technical strategies.</li><li>Develop Python-based microservices aligned with architectural designs.</li><li>Conduct testing and integrate services into the broader software ecosystem.</li><li>Maintain thorough documentation of research findings and implementation details.</li><li>Contribute to a collaborative and knowledge-sharing team culture. </li></ul><p><br></p><ul><li>Eligible for a security clearance.</li><li>2 to 5 years of practical experience in Python software development.</li><li>Bachelor’s degree in Computer Science, Data Science, or a closely related discipline.</li><li>Proficiency with machine learning libraries such as Pandas, NumPy, PyTorch, and spaCy.</li><li>Familiarity with LLM tools and ecosystems like Langchain, LlamaIndex, and providers such as sglang, vLLM, and OpenAI.</li><li>Experience working in environments like Jupyter Notebooks, Google Colab, and visualization tools such as Matplotlib, Plotly, and geoplotlib.</li><li>Understanding of transformer models, embedding techniques, transfer learning, and fine-tuning.</li><li>Solid foundation in statistical analysis and machine learning approaches including clustering, regression, neural networks, and deep learning.</li><li>Strong communication skills, both written and verbal, with the ability to convey technical concepts to stakeholders.</li><li>Willingness to travel occasionally for client engagements. </li></ul><p><br></p><ul><li>Exposure to Agentic AI frameworks (e.g., langgraph) and concepts like MCP and Retrieval-Augmented Generation (RAG).</li><li>Knowledge of natural language processing techniques such as TF-IDF, Bag of Words, Named Entity Recognition, and Part-of-Speech tagging.</li><li>Experience with distributed computing and data platforms like Spark, Hive, MongoDB, and MapReduce.</li><li>Understanding of modern cloud-native architectures and tools such as Docker, AWS, GCP, Jenkins, and TeamCity.</li><li>Master’s degree in a relevant technical field is a plus.</li></ul><p><br></p>
<p>Robert Half is seeking a Database Designer for a fulltime remote role with a Medical software company.</p><p>Must be based in Austin, TX, metropolitan area.</p><p><br></p><p>The Database Designer will be responsible for creating and implementing sound database schema and data models that support our SaaS platform’s scalability, performance, and maintainability. This role will refactor our existing fragmented and non-normalized databases into a cohesive, well-structured model, while guiding developers to adopt best practices moving forward.</p><p><br></p><p>While the primary focus will be schema and data model design in SQL Server, experience with ETL, reporting, and data warehouse design is a plus. The ideal candidate can also provide occasional DBA coverage during absences, ensuring operational continuity.</p><p><br></p><p>Duties and Responsibilities</p><p>-Analyze current database structures to identify and resolve design flaws, redundancies, and normalization issues.</p><p>-Redesign and refactor schemas to align with best practices for scalability, maintainability, and performance.</p><p>-Consolidate multiple databases into logical schemas where appropriate.</p><p>-Collaborate closely with developers to ensure application features align with the data model.</p><p>-Define and enforce database design standards, naming conventions, and documentation practices.</p><p>-Work with the DBA to ensure designs are operationally sound, secure, and maintainable.</p><p>-Assist in ETL process design, reporting architecture, and data warehouse modeling (as needed).</p><p>-Provide coverage for the DBA during planned absences, including monitoring, maintenance, and basic administrative tasks.</p><p>-Document all schemas, relationships, and design decisions in a maintainable format (e.g., data dictionaries, ER diagrams).</p><p>Other duties as needed</p>
<p><strong>Title:</strong> 3D Machine Learning Engineer</p><p> <strong>Location:</strong> Hybrid – El Segundo, CA</p><p> <strong>Compensation:</strong> Up to $190,000 DOE + benefits</p><p>We’re seeking a <strong>3D Machine Learning Engineer</strong> to join our innovative R& D team developing cutting-edge vision systems and AI-driven 3D modeling solutions. This hybrid role in <strong>El Segundo</strong> offers the opportunity to work on challenging projects at the intersection of <strong>computer vision, deep learning, and image processing</strong>.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, train, and optimize deep learning models using <strong>TensorFlow</strong> and <strong>Python</strong> for 2D and 3D visual data.</li><li>Develop algorithms for <strong>3D reconstruction</strong>, <strong>object recognition</strong>, and <strong>scene understanding</strong>.</li><li>Implement and evaluate models for <strong>image segmentation</strong>, <strong>depth estimation</strong>, and <strong>motion tracking</strong>.</li><li>Collaborate with multidisciplinary teams of engineers and researchers to deploy models into production environments.</li><li>Contribute to data preprocessing, augmentation, and model performance evaluation.</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIN Today and Apply now</p>
We are looking for a Principal AI Software Architect to lead the design, development, and implementation of cutting-edge AI and software solutions across the organization. This role is ideal for a visionary leader who excels in combining technical expertise with architectural strategy to deliver scalable, innovative systems. As a contract position based in Columbus, Ohio, this opportunity requires someone with a strong background in AI, software engineering, and enterprise-level architecture.<br><br>Responsibilities:<br>• Lead the architecture, design, and deployment of AI-driven platforms and scalable software systems that align with organizational goals.<br>• Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to identify and address technical challenges.<br>• Evaluate and select advanced AI tools, frameworks, and technologies to optimize performance and scalability.<br>• Establish and enforce best practices for AI model development, MLOps, software engineering, DevOps, and system architecture.<br>• Provide mentorship and guidance to engineering teams, fostering a culture of innovation and technical excellence.<br>• Drive the technical strategy and long-term planning to align engineering initiatives with enterprise objectives.<br>• Ensure adherence to data privacy, security, and ethical standards in all AI and software development efforts.<br>• Conduct code reviews, implement automated testing processes, and promote continuous integration and delivery pipelines.<br>• Monitor emerging technologies and methodologies to identify opportunities for innovation and improvement.
<p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
<p>The <strong>AI Adoption & Advocacy Coordinator</strong> is a key contributor to the organization's digital transformation efforts. This role focuses on promoting AI initiatives, fostering internal engagement, and building a culture of innovation. The Coordinator will lead communication strategies, support knowledge sharing, and cultivate communities of practice to drive AI adoption across the enterprise.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and manage internal communications to highlight AI initiatives and updates.</li><li>Facilitate cross-functional knowledge sharing and best practices related to AI.</li><li>Build and support communities of practice focused on AI and emerging technologies.</li><li>Track and report on AI usage, adoption metrics, and organizational impact.</li><li>Partner with stakeholders to identify and support AI integration opportunities.</li><li>Assist in change management efforts to enhance understanding and engagement.</li><li>Organize training sessions, workshops, and events to promote AI literacy and advocacy.</li></ul><p><br></p>
<p>Are you a solid accountant with strong skills in Dynamics GP (Great Plains) looking for an opportunity to shine in your career? Do you like to guide others through their work and provide a helping hand?</p><p>If you have 5+ years of Dynamics GP (Great Plains), experience in the following modules, accounts payable (a/p), accounts receivable (a/r), general ledger, (G/L), and these areas of Great Plains:</p><ul><li><strong>Financial:</strong> Journal Entries, Bank Transactions & Reconciliation, Fixed Assets, Reporting, Account Lookup</li><li><strong>Sales:</strong> Sales Order Processing, Cash Receipts, Customer Management</li><li><strong>Purchasing:</strong> Purchase Order Processing, Vendor Payments, Vendor Management</li></ul><p>Assist in creating, modifying, and organizing SmartLists for key reporting needs.</p><p>Help users learn how to filter, sort, and export SmartList data for their day-to-day functions.</p><p>Provide short-term help with data entry, validation, and cleanup to ensure accurate understanding of system process.</p><ul><li>Be available to assist staff navigating new GP screens and functions during the post-rollout period.</li><li>Answer basic “how-to” questions and guide users through standard processes.</li><li>Identify common issues or knowledge gaps and communicate them to the implementation team</li></ul><p>Support the creation and organization of a GP procedures manual, including:</p><ul><li>Step-by-step instructions for key workflows in each module.</li><li>Visual aids such as screenshots and annotated examples.</li><li>Department-specific checklists to standardize processes.</li></ul>
<p>We are looking for an AI Conversation Designer to join our team on a part-time contract basis. This role involves designing and optimizing AI workflows to improve employee efficiency within an insurance organization. Based in New Jersey, you will work closely with cross-functional teams to develop and refine AI tools using Microsoft Copilot and proprietary AI models.</p><p><br></p><p>Responsibilities:</p><p>• Design, test, and refine AI prompts and workflows to automate internal processes and enhance employee productivity.</p><p>• Collaborate with marketing and innovation team members to implement AI strategies tailored to individual roles and tasks.</p><p>• Develop AI agents that integrate seamlessly with Microsoft tools such as SharePoint, Excel, Word, and PowerPoint.</p><p>• Translate business requirements into actionable AI prompt logic to address specific team needs.</p><p>• Optimize existing AI libraries and build new ones to improve agent performance and efficiency.</p><p>• Support employees in leveraging Microsoft Copilot and SelectiveGPT to create virtual coworkers that reduce task completion time.</p><p>• Partner with AI consultants and IT teams to align prompt engineering with broader organizational AI initiatives.</p><p>• Provide technical guidance and support for additional AI-related tasks as needed.</p><p><br></p><p><br></p><p>02720-0013313424</p><p><br></p>
