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. <br> Technical Skills Fluent proficiency in Python (required). Strong ability to design, implement, and maintain scientific software applications and codebases—beyond general AI/ML model development. Experience contributing to third-party or open-source scientific software projects.
<p>We are looking for an experienced Data Scientist to join our team. In this position, you will play a critical role in analyzing complex datasets, developing data pipelines, and delivering actionable insights to support research, development, and operational strategies. This is a unique opportunity to collaborate with R& D teams and contribute to innovative geospatial applications that impact business outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Analyze diverse datasets from research programs, field trials, and operational systems to generate business insights.</p><p>• Collaborate with R& D teams to aggregate experimental results into statistically sound and geospatially relevant analyses.</p><p>• Develop actionable insights to optimize manufacturing processes, improve product performance, and enhance sales strategies.</p><p>• Communicate findings effectively to stakeholders to support decision-making and ensure proper implementation of technologies.</p><p>• Build and optimize datasets using programming languages such as Python and R.</p><p>• Participate in the development and maintenance of automated data pipelines and reproducible workflows.</p><p>• Design semantic data layers to facilitate the translation of experimental data into business solutions.</p><p>• Utilize tools like Databricks, Snowflake, and Power BI to support data management and visualization.</p><p>• Contribute to the strategic planning and creation of platforms that integrate data for field applications.</p><p>• Work closely with research teams to understand and address data-related challenges.</p>
We are looking for a dedicated Data Scientist to join our team in Louisville, Kentucky. In this role, you will leverage advanced data science techniques to analyze healthcare data, develop predictive models, and deliver actionable insights that enhance patient care and operational efficiency. This position offers the opportunity to make a meaningful impact by addressing health disparities and supporting innovative healthcare initiatives.<br><br>Responsibilities:<br>• Utilize machine learning, predictive analytics, and data mining techniques to uncover patterns and trends in healthcare datasets.<br>• Design and implement predictive models to anticipate patient outcomes and guide proactive clinical interventions.<br>• Create clear and impactful data visualizations to communicate analytical findings to both technical and non-technical audiences.<br>• Collaborate with Data Architects to develop scalable, cloud-based analytic solutions tailored to population health and value-based care.<br>• Establish and monitor KPIs to assess the effectiveness of data-driven strategies in improving patient outcomes and efficiency.<br>• Participate in healthcare projects that focus on chronic disease management and enhancing provider performance.<br>• Stay updated on emerging technologies and methodologies to continuously enhance data science capabilities within the organization.<br>• Ensure compliance with data security and privacy regulations while handling sensitive healthcare information.
Principal Data Scientist – Data & AI (Hybrid)<br><br>Global Technology Organization<br><br>We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.<br><br>In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.<br><br>What You’ll Work On<br><br>Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.<br><br>Lead the design and optimization of scalable data pipelines to support production-grade ML systems.<br><br>Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.<br><br>Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.<br><br>Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.<br><br>Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.<br><br>Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.<br><br>Preferred Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).<br><br>10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.<br><br>Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.<br><br>Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.<br><br>Proven experience deploying models in cloud-based or distributed environments.<br><br>Who Thrives Here<br><br>Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.<br><br>Strong analytical thinkers with exceptional communication skills.<br><br>Collaborative professionals who enjoy working across engineering, product, and data teams.<br><br>Individuals who embrace continuous learning and stay ahead of modern ML trends.
<p>We are looking for a skilled Data Scientist to join our team in Saint Paul, Minnesota. This contract position offers the opportunity to collaborate with cutting-edge technologies and contribute to the advancement of AI and data initiatives. The ideal candidate will thrive in a business-facing role, engaging with leadership and stakeholders to drive impactful solutions.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement machine learning models using Python and Databricks to address complex business challenges.</p><p>• Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights.</p><p>• Work within open architectures to design and execute scalable data solutions.</p><p>• Participate in leadership meetings, effectively communicating technical concepts and recommendations to non-technical stakeholders.</p><p>• Mentor and support team members to enhance overall technical and business-facing capabilities.</p><p>• Utilize tools such as Apache Spark, Hadoop, and Kafka for efficient data processing and analysis.</p><p>• Design and execute ETL workflows to ensure robust data transformation and integration.</p><p>• Contribute to the continuous improvement of data science practices and methodologies.</p><p>• Stay updated on emerging technologies and trends in AI and machine learning to maintain a competitive edge.</p><p>• Assist in bridging skills gaps within the team by providing expertise and guidance.</p>
<p>Position Overview</p><p>We are seeking a highly skilled Data Scientist with deep expertise in Artificial Intelligence, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role is ideal for an innovative problem‑solver who thrives in a fast‑paced environment and is passionate about developing advanced AI/ML models that drive meaningful business value.</p><p>You will design, train, and deploy cutting‑edge AI models—including large language models (LLMs) and multi‑agent systems—turning complex data into scalable, high‑impact solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Build advanced AI solutions leveraging LLMs, multi‑agent systems, fine‑tuning methods, and inference optimization</li><li>Translate complex data science methodologies into clear, actionable insights for business stakeholders</li><li>Collaborate with cross‑functional teams to ensure AI solutions align with business needs</li><li>Create compelling presentations, dashboards, and data stories for non‑technical audiences</li><li>Contribute to innovation initiatives involving NLP, CV, Generative AI, and predictive analytics</li></ul>
<p>Our Enterprise Data and Analytics team is growing. We’re looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers support our communities and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America and we need data and analytics to meet that goal.</p><p>As we advance our data science and analytics capabilities we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical algorithmic mining and visualization techniques. We are looking for a leader who has a passion for developing others driving change and continuously improving and evolving the application of technologies to meet todays and tomorrow’s challenges.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Prioritizes analytical projects based on business value and technological readiness</p><p>· Performs large-scale experimentation and build data-driven models to answer business questions</p><p>· Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence</p><p>· Evangelizes best practices to analytics and products teams</p><p>· Acts as the go-to resource for machine learning across a range of business needs</p><p>· Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring</p><p>· Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization</p><p>· Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs</p><p>· Anticipates and analyzes trends in technology while assessing the emerging technologies impact(s)</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>
<p><br></p><p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify an <strong>AI Engineer (contract).</strong> In this role, you will be responsible for creating, implementing, and optimizing AI and machine learning solutions that improve engineering, operations, and enterprise workflows. This role serves as a connection point between advanced technology and real-world application, ensuring AI initiatives deliver measurable business value. The ideal candidate brings strong technical depth in AI/ML along with experience working in data‑rich, process‑driven environments. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities: </strong></p><ul><li>Develop and deploy AI/ML models for automation, predictive insights, and generative applications.</li><li>Transform experimental prototypes into scalable, production-ready systems using tools such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Partner closely with data engineering teams to build reliable data pipelines and scalable architectures.</li><li>Apply ETL processes and big-data technologies to clean, structure, and prepare datasets for modeling.</li><li>Deploy AI solutions on cloud platforms (e.g., Azure machine learning services, Databricks) and integrate them into existing digital environments.</li><li>Implement MLOps best practices across model lifecycle management, monitoring, and iteration.</li><li>Collaborate with cross-functional teams—including engineering, IT, and business operations—to ensure AI solutions align with organizational goals.</li><li>Translate complex AI concepts into clear, accessible explanations for non-technical audiences.</li><li>Ensure all AI systems comply with organizational standards for security, governance, and responsible use.</li><li>Maintain thorough documentation covering model assumptions, architecture, and decision-making processes.</li><li>Stay up to date with emerging AI innovations, including agent-based systems and multimodal models.</li><li>Contribute to internal innovation programs and AI-focused centers of excellence.</li></ul>
<p>The AI/ML Solutions Architect will lead the design, development, and deployment of advanced AI/ML solutions. This role combines deep technical expertise with strategic thinking to ensure AI/ML initiatives are successfully integrated into business operations. You will work closely with data scientists, engineers, and stakeholders to create architectures that maximize performance, scalability, and reliability.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring.</li><li>Collaborate with stakeholders to define AI/ML solution requirements aligned with business objectives.</li><li>Provide technical leadership and guidance to teams implementing AI/ML models and systems.</li><li>Develop scalable and secure solutions using cloud platforms (AWS, Azure, GCP) and MLOps best practices.</li><li>Ensure seamless integration of AI/ML models into existing IT systems and workflows.</li><li>Conduct feasibility studies, prototyping, and performance evaluations for new technologies and frameworks.</li><li>Stay updated on advancements in AI/ML and recommend innovative solutions to meet emerging needs.</li><li>Document technical designs, workflows, and implementation plans to ensure clarity and reproducibility.</li></ul><p><br></p>
<p>Robert Half is hiring! We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team. In this role, you will design and implement cutting-edge AI and machine learning solutions to enhance our SaaS platform. You will collaborate with cross-functional teams to optimize workflows, improve customer experiences, and drive innovation through intelligent features.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy robust machine learning models for predictive analytics, generative AI, and other advanced capabilities within a SaaS environment.</p><p>• Create scalable data pipelines for model training, testing, and monitoring, ensuring optimal performance and reliability.</p><p>• Collaborate with product, engineering, and data teams to identify and implement AI-driven solutions that address business challenges.</p><p>• Design and integrate AI functionalities, such as recommendations and classification systems, while maintaining efficiency and accuracy.</p><p>• Incorporate AI models into cloud-based systems using APIs, microservices, and containerized infrastructure.</p><p>• Assess and implement third-party AI tools and frameworks to enhance productivity and product capabilities.</p><p>• Ensure models align with privacy, security, and fairness standards, maintaining compliance across all implementations.</p><p>• Document workflows, track experiments, and maintain reproducibility for all AI-related processes.</p><p>• Keep up-to-date with advancements in AI technologies, machine learning techniques, and SaaS architecture trends.</p><ul><li>Python, Typescript, React </li></ul>
<p>Are you passionate about building AI-powered systems that automate and orchestrate complex workflows? Our team is seeking a Workflow Engineer with a focus on AI & LLM Platforms to design, implement, and scale cutting-edge solutions for next-generation agentic and data-driven applications.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Architect and implement workflow solutions integrating Large Language Models (LLMs) and machine learning components.</li><li>Build and optimize AI-powered, agentic workflow patterns for real-world business processes.</li><li>Develop robust orchestration logic using Python or Node.js.</li><li>Collaborate with AI engineers and data scientists to design and integrate agentic systems and applied data science solutions.</li><li>Implement Retrieval Augmented Generation (RAG) pipelines to enhance LLM- and data-driven applications.</li><li>Automate and monitor machine learning workflows, ensuring performance, reliability, and scalability.</li><li>Support deployment and lifecycle management of production AI/ML workflows on modern platforms.</li><li>Document best practices and promote knowledge sharing related to workflow automation and AI/LLM system integration.</li></ul>
<p>We are looking for a talented Systems Integration & AI Automation Specialist to join our team in Westport, Connecticut. In this role, you will design, implement, and optimize advanced AI solutions and system integrations to drive operational efficiency and enhance business processes. You will collaborate with cross-functional teams to identify opportunities for automation and AI enablement, ensuring scalable and impactful results.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement AI-driven solutions to optimize business workflows and enhance operational efficiency.</p><p>• Design and deploy integrations across enterprise systems such as Microsoft 365, Salesforce, and other SaaS platforms.</p><p>• Identify and resolve data silos, workflow fragmentation, and system bottlenecks to streamline processes.</p><p>• Collaborate with global teams to unify identity, access, and governance processes across systems.</p><p>• Partner with departments like Finance and HR to automate manual workflows using tools such as PowerAutomate and Zapier.</p><p>• Create and maintain dashboards to monitor automation performance and its impact on business operations.</p><p>• Deploy custom AI tools, including GPT models and intelligent agents, to improve productivity across various departments.</p><p>• Ensure responsible use of AI technologies in compliance with company policies and global privacy standards.</p><p>• Evaluate and implement AI use cases to address high-impact business needs, leading the development and execution of solutions.</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>We’re seeking a Senior AI/ML Engineer to build and scale real-time data pipelines, drive platform reliability, and lead core AI/ML engineering initiatives. You’ll work across teams to deliver high‑performance, secure, and cost‑efficient data and machine learning systems.</p><p><br></p><p>Responsibilities:</p><ul><li>Architect and maintain scalable data pipelines (GCP, Kafka, Flink).</li><li>Own reliability, observability, and performance of the data/ML platform.</li><li>Optimize infrastructure performance and cloud costs.</li><li>Standardize data modeling and testing (dbt or similar).</li><li>Implement Infrastructure as Code and automation best practices.</li><li>Ensure security, governance, and compliance across data systems.</li><li>Lead cross-functional initiatives and mentor engineering peers.</li><li>Drive continuous improvement in tools, processes, and standards.</li></ul><p><br></p><p><br></p>
<p><strong>Are you a data-driven marketer with a passion for leveraging AI to create smarter, more impactful campaigns?</strong></p><p>Robert Half is seeking experienced <strong>AI Marketing Specialists</strong> to fill contract roles with companies eager to transform their marketing strategies through artificial intelligence. If you excel at blending creativity with analytics—and have 3+ years of experience in digital marketing and AI-driven tools—this is your chance to work on cutting-edge projects and shape the future of marketing.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and execute AI-powered marketing strategies across multiple channels, including social media, email, and paid advertising.</li><li>Utilize AI tools to automate workflows, personalize campaigns, and optimize performance.</li><li>Analyze data and generate actionable insights to improve ROI and customer engagement.</li><li>Collaborate with creative and technical teams to integrate AI solutions into marketing initiatives.</li><li>Stay ahead of emerging AI technologies and trends to keep campaigns innovative and competitive.</li><li>Ensure ethical and compliant use of AI in all marketing activities.</li></ul><p><br></p>
<p>Join our team as a DevOps Engineer specializing in Artificial Intelligence (AI) and Large Language Model (LLM) infrastructure. You will play a critical role in architecting, deploying, and optimizing scalable AI platforms using modern DevOps practices and state-of-the-art tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Build, automate, and manage CI/CD pipelines for deploying and maintaining AI/LLM workloads.</li><li>Collaborate with AI engineers and data scientists to streamline model deployment, versioning, and monitoring.</li><li>Design and maintain cloud infrastructure using Infrastructure as Code (IaC) platforms such as Terraform and Ansible.</li><li>Orchestrate and manage containerized AI environments using Kubernetes.</li><li>Implement robust monitoring and logging solutions utilizing Grafana and Prometheus.</li><li>Optimize AI model inference and training workloads—especially for NVIDIA GPU-powered environments.</li><li>Apply strict security and compliance standards for all infrastructure components.</li><li>Diagnose and resolve production issues, continuously improving reliability and scalability of AI services.</li></ul>
<p>We are looking for a skilled AI Engineer to join our team. In this role, you will design, develop, and implement advanced AI-driven solutions to address complex business challenges. You will work on a variety of projects, including predictive analytics, intelligent automation, and machine learning model integration, while contributing to the development of scalable AI infrastructure.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models and algorithms to solve business problems effectively.</p><p>• Build scalable AI solutions that integrate seamlessly with existing systems.</p><p>• Design and maintain AI infrastructure, including data pipelines and model training environments.</p><p>• Collaborate with cross-functional teams to translate requirements into actionable AI designs.</p><p>• Optimize machine learning models to improve performance and reliability.</p><p>• Implement and test solutions using Test Driven Development methodologies.</p><p>• Stay updated on emerging AI technologies and recommend their adoption.</p><p>• Ensure ethical and responsible use of AI technologies.</p><p>• Participate in code reviews and share knowledge across the team.</p><p>• Document AI processes and maintain clear technical records.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This is a contract-to-permanent position, offering an exciting opportunity to apply cutting-edge AI technologies to real-world challenges. The ideal candidate will have a strong background in machine learning, data preprocessing, and model development, as well as a keen interest in exploring innovative AI tools and frameworks.<br><br>Responsibilities:<br>• Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI solutions into existing applications and services within secure on-premises environments.<br>• Experiment with large language models (LLMs) and agent-based coding tools to assess their potential for automation and analytics.<br>• Process and analyze structured and unstructured data from various internal systems to enhance model performance.<br>• Collaborate with teams to ensure compliance with Criminal Justice Information Systems and Personally Identifiable Information protection standards.<br>• Work alongside analysts and IT professionals to identify opportunities for AI-driven operational improvements.<br>• Participate in code reviews, testing, and deployment processes to ensure high-quality outcomes.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance principles.<br>• Conduct feature engineering and model evaluations to refine AI solutions.
<p>We’re seeking a <strong>Senior AI Engineer</strong> to help design, build, and deploy intelligent systems that directly impact business outcomes. You’ll work closely with product, data, and engineering teams to turn advanced models into scalable, production‑ready solutions.</p><p>This role is ideal for someone who enjoys working across the full AI lifecycle—from experimentation to deployment—and wants to influence architectural decisions.</p><p>What You’ll Do</p><ul><li>Design, develop, and deploy AI/ML models into production environments</li><li>Build and optimize pipelines for model training, evaluation, and inference</li><li>Collaborate with cross‑functional teams to translate business problems into AI solutions</li><li>Work with large datasets and fine‑tune models for performance, scalability, and reliability</li><li>Contribute to AI architecture, best practices, and technical standards</li></ul><p><br></p>
<p>We’re looking for an AI Engineer who loves turning cutting-edge models into real-world products. You’ll build, prototype, and deploy AI-powered solutions — from intelligent automation to generative AI applications — that directly impact how teams work and make decisions.</p><p>What You’ll Do</p><ul><li>Design and deploy machine learning and generative AI solutions in production</li><li>Build AI-powered tools such as chat interfaces, recommendation systems, and intelligent workflows</li><li>Work with structured and unstructured data to train and fine-tune models</li><li>Develop APIs and services to integrate AI into web applications</li><li>Optimize model performance, accuracy, and scalability</li><li>Collaborate with product, engineering, and data teams to turn ideas into usable tools</li></ul><p><br></p>
<p>We’re seeking an AI/ML Developer with a strong backend and systems architecture background to design, build, and scale applications that incorporate AI-driven capabilities. This role is ideal for someone who enjoys working close to the infrastructure, data pipelines, and services that power machine learning and intelligent features in production.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, and maintain scalable backend services and APIs that support AI/ML functionality</li><li>Lead architectural decisions across backend systems, databases, and integrations</li><li>Build and optimize data pipelines (ETL) to support model training, inference, and experimentation</li><li>Develop and manage microservices architectures for deploying and scaling AI workloads</li><li>Implement caching strategies using Redis to improve performance of AI-powered features</li><li>Manage object storage solutions (S3) for datasets, models, and application assets</li><li>Build and support workflow engines that manage complex ML and business processes</li><li>Collaborate with frontend engineers to deliver AI-enhanced user experiences</li><li>Write clean, maintainable, and well-documented production code</li><li>Participate in code reviews and contribute to engineering best practices</li><li>Troubleshoot and resolve complex backend, data, and integration issues</li><li>Stay current with AI/ML, backend, and architecture trends</li></ul>
<p>Role Summary</p><p><br></p><p>We are seeking a Learning Technology & AI Solutions Consultant to serve as a strategic advisor and subject matter expert across learning technologies, analytics, and AI‑enabled learning solutions. This role owns the learning technology ecosystem and drives scalable, data‑informed, and innovative learning solutions that improve efficiency, effectiveness, and learner experience.</p><p>The ideal candidate blends deep learning‑technology expertise with practical experience applying AI responsibly to real business and learning challenges.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p>Learning Technology Strategy & Governance</p><ul><li>Provide strategic oversight for learning technologies across LMS, LXP, LRS, and authoring tools</li><li>Evaluate platform performance, adoption, and data quality to drive continuous improvement</li><li>Establish standards, documentation, and enablement resources for enterprise learning tools</li><li>Identify, measure, and mitigate risks associated with learning technologies in alignment with compliance policies</li></ul><p>AI‑Enabled Learning Solutions</p><ul><li>Translate emerging AI capabilities into practical, ethical, value‑driven learning solutions</li><li>Establish guardrails for responsible AI use, including data privacy, bias mitigation, and explainability</li><li>Reduce manual effort and accelerate delivery through automation and AI enablement</li></ul><p>Vendor & Platform Management</p><ul><li>Evaluate, select, and manage learning technology vendors</li><li>Influence platform roadmaps to align with enterprise learning needs</li><li>Optimize learning platform ecosystems to support scalability and reliability</li></ul><p>Consulting & Enablement</p><ul><li>Act as a consultative partner to Learning Enablement, Sales Enablement, Leadership Development, and other stakeholders</li><li>Recommend appropriate technologies and AI approaches based on business needs—not trends</li><li>Build learning team capability in learning technology fluency, analytics literacy, and AI awareness</li></ul>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Southern California. In this role, you will take charge of analyzing complex datasets to derive actionable insights and support critical business decisions within the automotive industry. You will collaborate across teams to ensure data accuracy and streamline workflows while leveraging your expertise in advanced analytics and cloud-based platforms.</p><p><strong>What will this person be working on</strong></p><p>As a Data Analyst / CDP Developer, the candidate will support the customer data platform, improve data quality, implement scalable data solutions, and address end‑to‑end data challenges. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large‑scale datasets. The ideal candidate is highly analytical, detail‑oriented, and thrives in a fast‑paced, cross‑functional environment</p><p><strong>Responsibilities:</strong></p><p>• Analyze large-scale datasets to uncover trends, validate data quality, and provide insights that drive business strategies.</p><p>• Develop and optimize advanced queries using tools like Presto, Hive, and NoSQL to support data operations.</p><p>• Utilize Python for data processing, automation, and workflow development to enhance system functionality.</p><p>• Apply cloud data architecture principles within platforms such as AWS to improve data management.</p><p>• Conduct exploratory data analysis to identify anomalies, validate assumptions, and meet stakeholder needs.</p><p>• Document data processes, workflows, and business rules in platforms such as Confluence to ensure clarity and consistency.</p><p>• Collaborate with cross-functional teams, including engineering, marketing, and subject matter experts, to define and refine data requirements.</p><p>• Operate workflow orchestration tools like Digdag and TD Workflows to manage data pipelines and scheduled tasks.</p><p>• Implement and monitor data quality frameworks to ensure reliable data validation and system observability.</p><p>• Adhere to compliance and privacy standards while maintaining best practices for version control and CI/CD processes.</p>
We are looking for a skilled Data/AI Consultant to join our team in Houston, Texas, for an exciting Contract to permanent position. In this role, you will leverage AI technologies and expertise to enhance data management processes and provide strategic insights to support commodity training initiatives. If you thrive in environments requiring innovative solutions and enjoy building systems from the ground up, this position offers a unique chance to make a significant impact.<br><br>Responsibilities:<br>• Utilize AI technologies to develop solutions for commodity training and data analysis.<br>• Assess and strategize the best approach for cleaning, organizing, and structuring company data.<br>• Implement data management platforms and frameworks tailored to business needs.<br>• Build and maintain scalable data architecture using public Spark and cloud technologies.<br>• Collaborate with stakeholders to define and document business requirements.<br>• Apply advanced analytics and business intelligence tools to uncover actionable insights.<br>• Work within Agile Scrum methodologies to deliver projects efficiently.<br>• Manage master data using MDM technologies to ensure consistency and accuracy.<br>• Perform database administration tasks, including DB2 database management.<br>• Leverage AWS technologies for cloud-based data solutions.
