We are looking for an experienced Data Scientist to join our team in Bloomington, Minnesota. In this long-term contract position, you will leverage your expertise in machine learning and data science to deliver impactful solutions that drive business growth. This role involves blending technical proficiency with strategic thinking to design and implement predictive models, while also serving as a key collaborator with stakeholders across the organization.<br><br>Responsibilities:<br>• Develop and execute machine learning experiments tailored to marketing and sales use cases.<br>• Translate business objectives into actionable data science problems and deliver solutions that create measurable impact.<br>• Collaborate with leadership and stakeholders to articulate and simplify the outputs of machine learning models for non-technical audiences.<br>• Oversee the lifecycle of data science projects using tools such as Google Cloud Vertex AI.<br>• Create reusable data models and pipelines, leveraging dbt to support scalable platform architecture.<br>• Advocate for the adoption of data science practices, showcasing the potential and value of AI-driven insights.<br>• Monitor model performance and optimize data usage to balance accuracy and operational costs within the Google Cloud environment.
<p>We are seeking a highly skilled Scientific Data Scientist or Software Engineer with a strong academic foundation and hands-on experience developing scientific software. The ideal candidate combines deep STEM expertise with rigorous coding ability, and has a demonstrated track record of integrating, evaluating, and advancing scientific software systems.</p><p><br></p><p><strong>Technical Skills</strong></p><ul><li><strong>Fluent proficiency in Python</strong> (required).</li><li>Strong ability to design, implement, and maintain <strong>scientific software applications and codebases</strong>—beyond general AI/ML model development.</li><li>Experience contributing to <strong>third-party or open-source scientific software projects</strong>.</li></ul><p><br></p>
<p><strong>Summary</strong></p><p>We are seeking a <strong>curious, proactive, and innovative Data Scientist</strong> with expertise in <strong>AI/ML and Large Language Models (LLMs)</strong> to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with <strong>LLMs, NLP, and deep learning techniques</strong> to build scalable models and translate complex insights into actionable strategies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>AI/ML Model Development:</strong> Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.</li><li><strong>Data Analysis & Feature Engineering:</strong> Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.</li><li><strong>NLP & Agent-Based Applications:</strong> Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.</li><li><strong>Business Impact:</strong> Translate data science methodologies into actionable insights for stakeholders.</li><li><strong>End-to-End Deployment:</strong> Implement MLOps best practices for scalable, reliable model deployment.</li><li><strong>Visualization & Storytelling:</strong> Create dashboards and presentations to communicate findings to non-technical audiences.</li></ul>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p>Robert Half is hiring! We are looking for an experienced AI Engineer to join our team. In this role, you will play a pivotal part in developing cutting-edge machine learning solutions that enhance our SaaS platform and drive innovation. You will collaborate with cross-functional teams to create scalable AI systems that improve user experiences, automate operations, and expand product capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement machine learning models, including predictive analytics and generative AI features, tailored for a modern SaaS platform.</p><p>• Build and optimize AI pipelines for data preparation, feature engineering, model training, evaluation, and deployment.</p><p>• Collaborate with product, data, and engineering teams to identify AI-driven opportunities that address business challenges.</p><p>• Develop cloud-based solutions using APIs, microservices, and containerized infrastructure to integrate machine learning models.</p><p>• Research and evaluate third-party AI tools and frameworks to enhance productivity and system functionality.</p><p>• Ensure AI systems adhere to privacy, security, and reliability standards while maintaining fairness and accuracy.</p><p>• Document workflows, maintain experiment logs, and establish reproducible processes for AI development.</p><p>• Stay informed about advancements in machine learning, generative AI, and SaaS architecture to apply best practices in projects.</p>
<p>We are seeking a highly skilled Senior Data Engineer with AI / ML desires to design, build, and scale next-generation data and machine learning infrastructure. This role is ideal for a hands-on technical expert who thrives in building complex systems from the ground up, has deep experience in Google Cloud Platform (GCP), and is excited about stepping into management and technical leadership. You will work across engineering, data science, and executive leadership teams to architect cloud-native solutions, optimize real-time data pipelines, and help shape our long-term AI/ML engineering strategy.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Cloud & Platform Engineering</strong></p><ul><li>Architect, build, and maintain high-performance data and ML infrastructure on GCP using best-in-class cloud-native tools and services.</li><li>Lead the design of scalable cloud architectures, with a strong focus on resilience, automation, and cost-effective operation.</li><li>Build applications and services from scratch, ensuring they are modular, maintainable, and scalable.</li></ul><p><strong>Real-Time & Distributed Systems</strong></p><ul><li>Design and optimize real-time data processing pipelines capable of handling high-volume, low-latency traffic.</li><li>Implement and fine-tune load balancing strategies to support fault tolerance and performance across distributed systems.</li><li>Lead system design for high availability, horizontal scaling, and microservices communication patterns.</li></ul><p><strong>AI/ML Engineering</strong></p><ul><li>Partner with ML engineers and data scientists to deploy, monitor, and scale machine learning workflows.</li><li>Create and maintain ML-focused CI/CD pipelines, model deployment frameworks, and automated testing harnesses.</li></ul><p><strong>Open-Source & Code Quality</strong></p><ul><li>Contribute to and maintain open-source projects, including active GitHub repositories.</li><li>Champion best practices across code reviews, version control, and documentation.</li><li>Establish, document, and enforce advanced testing methodologies, including integration, regression, performance, and automated testing frameworks.</li></ul><p><strong>Leadership & Collaboration</strong></p><ul><li>Serve as a technical leader and mentor within the engineering team.</li><li>Collaborate effectively with senior leadership and executive stakeholders, translating complex engineering concepts into strategic insights.</li><li>Provide guidance and direction to junior engineers, with an eye toward growing into a people leadership role.</li></ul>
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team near Raleigh, North Carolina. In this role, you will play a pivotal part in transitioning our organization from descriptive analytics to predictive analytics, enabling data-driven decision-making and storytelling through advanced insights. This is an excellent opportunity to build innovative solutions from the ground up within a collaborative and supportive environment.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to understand their needs and identify opportunities for predictive analytics applications.</p><p>• Design and implement machine learning models and algorithms to deliver actionable insights.</p><p>• Develop and maintain analytical solutions using tools like Python, R, and TensorFlow.</p><p>• Utilize cloud platforms such as Microsoft Azure to deploy and manage machine learning workflows.</p><p>• Create compelling data visualizations using BI tools like Power BI to communicate findings effectively.</p><p>• Lead efforts to identify and prioritize predictive analytics projects aligned with organizational goals.</p><p>• Provide technical expertise and guidance to team members, ensuring the success of analytics initiatives.</p><p>• Drive the adoption of advanced analytics practices across the organization.</p><p>• Ensure data integrity and optimize data pipelines to support machine learning processes.</p><p>• Stay current with emerging trends and technologies in artificial intelligence and predictive analytics.</p>
We are looking for a highly experienced Lead Artificial Intelligence (AI) Engineer to spearhead the development and implementation of cutting-edge AI and Machine Learning solutions within our organization. This role is integral to driving innovation, optimizing operational processes, and delivering impactful business outcomes across various projects. As a senior technical expert, you will collaborate with cross-functional teams to design scalable systems, set technical standards, and mentor emerging talent in AI engineering.<br><br>Responsibilities:<br>• Design, develop, and deploy production-ready AI and machine learning solutions tailored to renewable energy planning, construction optimization, and risk management.<br>• Establish and enforce technical standards for AI/ML development, MLOps pipelines, and the management of model lifecycles.<br>• Collaborate with IT and data teams to ensure AI systems are secure, scalable, and seamlessly integrated into the enterprise environment.<br>• Work closely with business stakeholders to translate strategic goals into practical AI applications that drive measurable results.<br>• Lead initiatives to explore and implement generative AI, predictive analytics, and optimization technologies to enhance forecasting and operational efficiency.<br>• Mentor and guide technical teams, fostering knowledge-sharing and the adoption of best practices in AI development.<br>• Evaluate emerging AI tools and technologies to ensure the organization remains at the forefront of innovation.<br>• Oversee the deployment and scaling of AI models in production environments, ensuring performance and reliability.<br>• Drive the development of automation solutions using AI to streamline processes and improve productivity.<br>• Collaborate with partners and vendors to integrate AI solutions effectively into existing systems.
<p><strong>Robert Half Technology | Partnering with a Leading Global Manufacturing Brand</strong></p><p>Are you passionate about AI and ready to drive real-world innovation across customer experience, operations, and automation? Robert Half Technology is seeking an <strong>AI Innovation Program Manager</strong> to help a major global brand transform how they work using next-generation AI tools such as ChatGPT, Gemini, and emerging automation platforms.</p><p><br></p><p><strong>What You’ll Do</strong></p><p><strong>AI Strategy & Execution</strong></p><ul><li>Drive AI adoption across the company by identifying high-impact use cases and leading implementation efforts.</li><li>Evaluate emerging AI tools (ChatGPT, Gemini, TenX, etc.) and recommend solutions aligned with operational and customer experience goals.</li><li>Support development of AI-driven customer service chatbots, website automation workflows, and digital customer engagement tools.</li></ul><p><strong>Program & Project Management</strong></p><ul><li>Lead AI projects end-to-end: scoping, planning, vendor coordination, testing, rollout, and optimization.</li><li>Build documentation, roadmaps, and adoption strategies to ensure sustained success.</li><li>Partner closely with the Director of Marketing and Director of AI Projects on customer-facing and operational AI initiatives.</li></ul><p><strong>Operations, Inventory & ERP Innovation</strong></p><ul><li>Collaborate with operations, inventory, and supply chain teams to identify opportunities to leverage AI in forecasting, workflow automation, and ERP improvements.</li><li>Recommend AI solutions that improve inventory accuracy, operational efficiency, and cost savings.</li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Work with marketing, IT, customer service, and manufacturing leadership to translate business needs into AI-powered solutions.</li><li>Serve as an internal AI advocate, educating teams, sharing best practices, and driving adoption.</li></ul><p> </p><p> </p><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>AI/ML Engineer (contract).</strong> In this role, you’ll architect and deliver robust, scalable platforms that enable machine learning and data science at enterprise scale. <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Architect & Build:</strong> Design and implement distributed systems and data processing frameworks using modern cloud technologies (GCP, Azure). Ensure solutions are secure, scalable, and optimized for performance.</li><li><strong>Lead Projects:</strong> Own technical initiatives end-to-end—from concept through delivery. Influence product roadmaps and make critical decisions on architecture and trade-offs.</li><li><strong>Collaborate Across Teams:</strong> Participate in planning, design reviews, and code reviews. Anticipate cross-team dependencies and resolve conflicts proactively.</li><li><strong>Mentor & Grow Talent:</strong> Interview candidates, onboard new hires, and provide technical guidance to engineers and interns. Foster a culture of learning and excellence.</li></ul>
We are looking for an experienced Senior AI Engineer to join our team in San Francisco, California. In this role, you will leverage cutting-edge technologies to design and implement advanced AI solutions, ensuring optimal performance and scalability. This position offers the opportunity to work on innovative projects that push the boundaries of artificial intelligence.<br><br>Responsibilities:<br>• Develop and optimize AI models and systems to meet business objectives.<br>• Collaborate with cross-functional teams to integrate AI technologies into existing workflows.<br>• Design and implement algorithms using Python and other programming languages.<br>• Utilize Agentic AI and LangGraph to create intelligent solutions tailored to client needs.<br>• Conduct thorough testing and validation to ensure the accuracy and reliability of AI models.<br>• Analyze complex datasets to uncover insights and improve system performance.<br>• Stay updated on industry trends and advancements, applying them to enhance project outcomes.<br>• Provide technical guidance and mentorship to less experienced team members.<br>• Document processes and solutions to maintain transparency and facilitate knowledge sharing.
<p>Robert Half is seeking a <strong>Google Document AI Specialist (OCR Consultant)</strong> to support a <strong>healthcare organization</strong> based in <strong>Washington State (Remote)</strong>. This role involves <strong>extracting structured data from scanned and typed documents stored in a Google Cloud project using Google Document AI</strong>, as the client needs a consultant to configure templates, run batches, and deliver accurate CSV outputs. The position is <strong>Remote</strong>, and is a <strong>short-term ~20-hour contract</strong> with <strong>potential for follow-up work</strong>. Apply today!</p><p><br></p><p><strong>Job Details:</strong></p><p><strong>Schedule:</strong> Flexible, standard business hours</p><p> <strong>Duration:</strong> ~20 hours (approx. 1–2 weeks of part-time work)</p><p> <strong>Location:</strong> Remote</p><p><br></p><p><strong>Job Responsibilities</strong></p><ul><li>Configure Google Document AI processors (Form Parser or Custom Processor) to support multiple document templates.</li><li>Run OCR extraction batches across scanned and typed documents, including handwritten content.</li><li>Validate extraction accuracy, review confidence scores, and adjust template settings as needed.</li><li>Map ~140 data fields across approximately five document formats and produce clean, structured CSV outputs.</li><li>Access and retrieve files stored in Google Cloud Storage within a HIPAA-compliant workflow.</li><li>Collaborate with internal stakeholders to ensure extracted data meets quality and accuracy requirements</li></ul><p><br></p>
<p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
<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 an experienced Information Architect to join our team on a long-term contract in Glendale, California. In this role, you will leverage your expertise to design and implement innovative solutions that enhance business operations and drive technological advancements. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate across various teams to deliver impactful results.<br><br>Responsibilities:<br>• Collaborate with stakeholders to identify needs and conceptualize scalable solutions using Generative AI technologies.<br>• Develop and implement AI-driven applications, ensuring optimal performance and alignment with business objectives.<br>• Architect end-to-end solutions, including model selection, training approaches, and deployment strategies.<br>• Conduct thorough evaluations of emerging AI technologies to assess feasibility and applicability.<br>• Lead testing and optimization processes to refine the functionality and efficiency of AI applications.<br>• Provide strategic guidance to align AI solutions with organizational goals and industry standards.<br>• Execute proof-of-concept projects to validate AI solutions and their impact.<br>• Optimize database queries and ensure seamless integration with existing systems.<br>• Oversee the implementation of ethical considerations in all AI-related projects.<br>• Collaborate across teams to ensure seamless development and deployment of solutions.
We are looking for a skilled Machine Learning Engineer to join our team in San Antonio, Texas. In this role, you will design, implement, and optimize machine learning systems to enhance functionality and scalability. You will work with cutting-edge technologies to adapt algorithms and libraries for specialized applications, contributing to innovative projects within the field.<br><br>Responsibilities:<br>• Analyze and interpret third-party documentation, including code repositories and research papers, to apply theoretical advances to practical use.<br>• Develop and maintain scalable machine learning systems with a focus on functionality and long-term usability.<br>• Customize and implement machine learning algorithms such as deep neural networks, reinforcement learning, and imitation learning for various applications.<br>• Collaborate with cross-functional teams to integrate machine learning solutions into robotics and industrial systems.<br>• Optimize performance metrics and computational efficiency of machine learning models.<br>• Utilize Python and libraries like PyTorch, HuggingFace, and LeRobot to build and refine algorithms.<br>• Design solutions leveraging cloud computing infrastructure to support robust machine learning operations.<br>• Conduct thorough testing and validation of machine learning models to ensure reliability and accuracy.<br>• Stay updated on emerging trends and technologies in artificial intelligence and robotics.<br>• Enhance robotic systems through advanced machine learning techniques, including computer vision and detection methods.
