368 results for Machine Learning Engineer

Machine Learning Engineer I (SE Junior Pipeline) (Contrac... We are offering a long-term contract employment opportunity for a Machine Learning Engineer I in Sunnyvale, California. As a Machine Learning Engineer, you will be implementing and refining machine learning algorithms, developing data pipelines, and deploying validated machine learning models into production. This role is within the technology industry, and the workplace is dynamic and fast-paced. Responsibility:<ul><li>Implements refines and validates machine learning algorithms for products and applications. - Implements data pipelines consisting of data ingest data validation data cleaning and data monitoring.</li><li>Trains machine learning models validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.</li><li>Assists in development of proof of concept solutions and contributes to studies to support future product or application development.</li><li>Researches writes and edits documentation and technical requirements including evaluation plans confluence pages white papers presentations test results technical manuals formal recommendations and reports.</li><li>Tests and evaluates solutions. Completes case studies testing and reporting.</li></ul>

Computer Vision Engineer We are seeking a talented and experienced Machine Learning Engineer with expertise in Computer Vision to join our dynamic team. In this role, you will focus on developing and deploying production-ready computer vision models leveraging cutting-edge technologies. The ideal candidate will have a strong background in Python programming, deep learning frameworks, and hands-on experience with tools and techniques such as YOLO, U-Net, image segmentation, CNNs/RCNNs, and preprocessing methods like blurring and contrast enhancements. If you thrive in a hybrid work environment and are excited to tackle real-world challenges in computer vision, we want to hear from you! This role in hybrid, onsite 3 days a week in Boston. Key Responsibilities:<ul><li>Design, develop, and deploy scalable and production-ready computer vision models for real-world applications.</li><li>Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification.</li><li>Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance.</li><li>Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems.</li><li>Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions.</li><li>Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement.</li><li>Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate.</li><li>Contribute to model optimization and inference processes to ensure scalability and low latency in production environments.</li><li>Troubleshoot production issues and implement solutions to improve reliability and performance.</li><li>Document technical solutions, workflows, and methodologies for internal and external stakeholders.</li></ul>

Machine Learning Engineer Key Responsibilities: Design, build, and deploy scalable machine learning models and algorithms using Azure ML and other cloud-based services. Architect end-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Use Azure Machine Learning Studio, Azure Databricks, and other platform tools to accelerate the development and deployment of ML models. Collaborate with cross-functional teams (data scientists, developers, and business stakeholders) to understand business problems and translate them into technical solutions. Perform data analysis and modeling to provide insights and actionable recommendations to clients. Optimize ML models for performance, scalability, and cost-effectiveness within a cloud environment. Provide consulting expertise to clients by presenting technical recommendations and solution roadmaps tailored to their business goals. Support cloud migrations, integrations, and system scaling related to AI/ML. Stay updated on trends in AI, ML, and cloud technologies to recommend best practices and innovative solutions. Document ML workflows and frameworks, ensuring transparency and reusability across projects. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Proven detail oriented experience as a Machine Learning Engineer with a focus on developing, deploying, and managing ML models in Azure environments. Hands-on expertise in Azure tools and services, such as Azure Machine Learning Studio, Azure Databricks, Azure Data Factory, and Azure DevOps. Proficiency in Python, R, or similar programming languages commonly used in ML. Knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with MLOps strategies, automating ML pipelines, and model lifecycle management. Familiarity with SQL, NoSQL databases, and big data processing tools (e.g., Spark). A proven track record of consulting experience, including working directly with clients to identify needs, communicate solutions, and deliver business value. Strong analytical, problem-solving, and decision-making skills. Excellent communication and presentation abilities to explain complex technical concepts to non-technical stakeholders. Experience with Agile development methodologies and project management in consulting environments.

Sr. Software Engineer We are excited to offer a contract for a Senior Software Engineer position in Jacksonville, Florida. In this role, you will join a team dedicated to developing innovative software solutions. Your primary responsibilities will include leading a diverse team of product development professionals and managing the Software Development Life Cycle (SDLC). Key Responsibilities:<ul><li>Oversee the entire Software Development Life Cycle (SDLC)</li><li>Act as the technical liaison with clients, ensuring compliance with contractual requirements</li><li>Develop, modify, and configure train simulation software in C++ for various training devices, desktop portable devices, and cloud solutions</li><li>Create AI solutions using neural network language</li><li>Lead the Hardware/Software Development and Integration phase of projects</li><li>Collaborate with team and clients during device installation, testing, and correction processes</li><li>Develop software updates and conduct tests before deployment to clients</li><li>Provide technical leadership to a team of engineers and technicians</li><li>Participate in maintenance and technology upgrade processes</li><li>Propose strategies to enhance efficiency and productivity within the team</li></ul>We look forward to welcoming a talented individual to our team!

Software Engineer We are offering a long term contract employment opportunity for a Software Engineer in Brooklyn, New York. As a Software Engineer, your key responsibilities will be to develop and maintain software systems using C++, work with Linux and GIT for version control, and utilize NVIDIA graphics cards and CUDA for processing. A significant part of the role involves applying machine learning techniques and conducting image processing via OpenCV. Responsibilities: • Development of software systems using C++ • Utilizing Linux as the primary operating system • Managing code versions and revisions with GIT • Working with NVIDIA graphics cards and CUDA for advanced processing • Application of machine learning techniques to improve system performance • Conducting image processing tasks using OpenCV • Collaborating with a multi-discipline team • Working with embedded systems, circuits, microcontrollers, and sensors • Gaining familiarity with 3D CAD software for design tasks • Incorporating Python in software development and maintenance tasks

Data Analytics Engineer We are on the lookout for an experienced Data Analytics Engineer to join our team based in Mesquite, Texas. In this role, you will be pivotal in transforming intricate employee data into digestible insights to aid in strategic HR decision-making, ultimately driving our organization's success. Responsibilities: • Accurately gather, clean, and integrate large-scale employee data from various sources like HRIS, surveys, and payroll using data management tools. • Apply techniques such as regression analysis, predictive modeling, and machine learning to identify workforce trends including attrition, performance, and training needs. • Interpret data findings to support various HR functions such as talent acquisition, compensation, workforce planning, learning and development, and retention strategies. • Establish key performance indicators (KPIs) to evaluate HR initiatives and measure organizational progress. • Collaborate with HR and IT departments to develop a comprehensive data warehouse and ensure analytics are aligned with business objectives. • Prepare reports and present insights to leadership, serving as a subject matter expert in people analytics. • Identify data integrity issues and recommend corrective actions to support HR process optimization. • Stay updated on best practices in HR analytics and contribute to continuous improvement initiatives. • Utilize data visualization tools like Tableau, Power BI, matplotlib, ggplot, d3.js, and programming languages like Python, R, SQL, DAX. • Work independently and with cross-functional teams to enhance data-driven decision-making.

Data Engineer We are offering a long term contract employment opportunity for a Data Engineer in the Financial Services industry, based in New York. In this role, you will be focused on delivering Machine Learning solutions, working with different technologies and frameworks, and implementing analytics. Responsibilities: • Utilize your proficiency in Python and related AI libraries to deliver solutions • Implement and maintain LLM frameworks and related technologies • Work with RAG solutions, including vector embedding • Use your hands-on experience to deliver LLM solutions to production • Develop and maintain Apache Kafka, Apache Pig, and Apache Spark systems • Work with Cloud Technologies and AWS Technologies to enhance our data infrastructure • Implement algorithms and analytics to extract insights from data • Develop APIs to facilitate data access and use • Use Apache Hadoop for large scale data processing • Create data visualizations to communicate findings and insights.

Cloud Engineer We are seeking a skilled Cloud Engineer to join our team in Highlands Ranch, Colorado. In this role, you will primarily focus on utilizing AI software to effectively solve problems and collaborate closely with a team of developers. This role presents a contract to permanent employment opportunity in the healthcare industry, providing the opportunity to revolutionize healthcare through AI. Responsibilities: • Use AI platforms and tools, such as Wind surf & Cursor, to enhance healthcare solutions • Work together with a team of developers, fostering a startup mentality • Use Python programming language to create and implement AI-driven solutions • Utilize PyTorch for Machine Learning development to improve healthcare applications • Draw on your AWS experience to manage and optimize cloud resources • Actively engage in problem-solving, using AI to generate effective solutions • Maintain a strong interest and passion for AI and its potential applications in ultrasound technology • Demonstrate innovative thinking and creativity in applying AI to revolutionize healthcare • Keep up-to-date with the latest AI trends and advancements to incorporate into the job role • Oversee and monitor customer accounts, ensuring accuracy and efficiency.

Data Scientist-Gen AI Join a leading company in the staffing industry as a Data Scientist II, where you'll play a key role in leveraging generative AI and advanced analytics to drive business innovation. This role focuses on building AI-driven solutions, refining large language models, and developing predictive analytics to optimize decision-making. If you're passionate about using cutting-edge data science methodologies to solve complex business challenges, we want to hear from you! Data Analytics & Modeling:<ul><li>Develop and implement predictive models using machine learning algorithms.</li><li>Analyze large datasets to optimize key business processes.</li><li>Collaborate with engineering teams to deploy real-time model solutions.</li><li>Utilize Azure Machine Learning, Databricks, and Microsoft data services for model building and deployment.</li></ul>Large Language Model Fine-Tuning:<ul><li>Enhance AI model performance through fine-tuning and prompt engineering.</li><li>Conduct benchmarking with human-in-the-loop feedback for iterative improvements.</li><li>Design multi-agent workflows to solve business challenges.</li><li>Stay updated on advancements in AI and large language models.</li></ul>Data Strategy & Business Collaboration:<ul><li>Work with IT and data engineering teams to integrate AI solutions into enterprise systems.</li><li>Partner with stakeholders to translate data insights into actionable strategies.</li></ul>

Senior Data Scientist We are offering an exciting opportunity for a Senior Data Scientist in Canton, Ohio, United States. The hired detail-oriented individual will engage in developing innovative solutions using advanced machine learning techniques, leading multiple data science projects, and mentoring entry-level data scientists. The role also involves a significant amount of collaboration with different teams and stakeholders. Responsibilities: • Lead the development and prototyping of new solutions to meet emerging business requirements. • Adopt advanced machine learning techniques such as deep learning, NLP, computer vision, and reinforcement learning to create innovative solutions. • Oversee multiple data science projects ensuring alignment with business goals. • Construct predictive models and integrate them with Business Intelligence tools while optimizing model performance. • Design and maintain data pipelines for efficient data retrieval and processing. • Cooperate with applications and data engineering teams for deploying models at scale. • Guide entry-level data scientists in model development and data handling. • Engage with Senior Leadership to inform strategic decisions using business intelligence insights. • Explore and adopt cutting-edge technologies and methodologies in data science. • Conduct exploratory data analysis to identify patterns, insights, and communicate findings. • Manage stakeholder expectations and deliver actionable solutions. • Supervise data processing pipelines ensuring data quality and consistency. • Foster ethical considerations in model deployment and data utilization. • Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.

Senior Manager, Data Platform and Tools We are seeking an experienced detail oriented to lead and manage a suite of data tools and platforms, ensuring they effectively support business intelligence and data analytics initiatives. This role requires strong leadership, communication, and strategic planning abilities to drive adoption, foster a knowledge-sharing culture, and optimize platform performance. The ideal candidate will be customer-facing, capable of articulating business value, and skilled at guiding teams through change while maintaining a collaborative environment. Key Responsibilities: Act as the primary liaison for data tools and platforms, effectively communicating their business value to stakeholders. Lead and develop a team of engineers, fostering a strong culture of growth, mentorship, and technical excellence. Establish and oversee a Community of Expertise (COE) for data cataloging, data quality, and database tools. Manage vendor relationships, including license renewals and contract negotiations. Develop and implement a strategic roadmap for enterprise-wide adoption of data tools such as Snowflake, Power BI, and graph databases. Design training programs to enhance the organization's ability to leverage BI and data management tools effectively. Guide the execution of BI and data engineering initiatives, ensuring alignment with business needs. Provide structure and leadership to transform "doers" into effective leaders within the team. Overcome organizational challenges by fostering resilience, accountability, and a results-driven approach.

Senior Manager Data Engineer We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows. Key Responsibilities:<ul><li>Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.</li><li>Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.</li><li>Define the roadmap for Data Lake development, ensuring efficient data storage and processing.</li><li>Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.</li><li>Work with Python and PySpark to process large-scale data efficiently.</li><li>Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.</li><li>Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.</li><li>Drive innovation and cost optimization in data architecture and cloud infrastructure.</li><li>Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices.</li></ul>

Data Engineer We are offering a contract to permanent employment opportunity for a Data Engineer in Glendale, California. This role is an integral part of our team, where you'll be involved in the creation of data solutions that inspire innovation and stimulate business growth, contributing significantly to our data-driven decision-making processes.Certainly! Here's the revised job posting without the mention of the client: About the RoleAs a Senior Analytics Engineer, you will play a vital role in transforming data into actionable insights. Collaborate with a dynamic team of technologists to develop innovative data solutions that fuel business growth and drive impactful decision-making. This role involves managing complex data structures and delivering scalable, efficient solutions to optimize our data-driven processes. If you're passionate about leveraging data to create meaningful impact, this opportunity is for you.Responsibilities:<ul><li>Architect and design data products using foundational data sets.</li><li>Develop and maintain code for data products.</li><li>Partner with business stakeholders to define data strategies and optimize the use of current data assets.</li><li>Provide specifications for data ingestion, preparation, and transformation workflows.</li><li>Document processes and train teams to utilize data products effectively for automation and decision-making.</li><li>Build and maintain automated pipelines to produce knowledge from models.</li><li>Monitor and refine statistical and machine learning models within data products.</li><li>Collaborate with data scientists to implement solutions for marketing and business problem-solving.</li><li>Work in coordination with other technology and science teams to deliver integrated solutions</li></ul>

Senior Data Engineer We are on the search for a Senior Data Engineer to join our team. In this role, you will be expected to leverage your analytical and problem-solving skills to manage and administrate our DBMS. Working in the IRVINGTON, New York, you will have the opportunity to design, develop, deploy, and optimize DB schemas, as well as liaise with developers to improve applications and establish best practices. Responsibilities: • Manage and administer the database management systems on a daily basis. • Collaborate with application developers and business teams to assist with data-related technical issues and ensure successful design and delivery of data driven solutions. • Design, develop, and deploy database schemas to meet application functionality and performance requirements. • Create and implement SQL scripts and stored procedures. • Develop and execute data reporting, data extract, data load and data validation processes and procedures. • Implement processes and procedures for the development and release of products/projects that facilitate high quality and rapid deployment. • Provide solutions to promote data integrity in enterprise systems, including data auditing, archive, backup, and restore solutions. • Participate in code reviews to validate effectiveness and quality of code with internal team members as well as external vendor supported products and databases. • Publish documentation and collaborative information using internal tools. • Troubleshoot and resolve data related issues.

Sr. Data Scientist Sr. Data Scientist (forecasting and retail industry experience) Robert Half is in search of a Sr. Data scientist who will have ownership of identifying/understanding the business opportunity that the company data presents and converting them into actionable, integrated, and advanced analytics/predictive solutions. Data scientist will work on creating data-driven applications that solve business problems for the company's customers. does not offer sponsorship now or in the future or C2Chybrid 3 days onsite Responsibilities <ul><li>Work with the company and partners to identify Business opportunities/problems and deliver actionable insights/predictive solutions that will result in Business value/growth for the company's customers.</li><li>Be at the forefront of research on how machine learning and artificial intelligence capabilities are maturing in the industry and what libraries, tools & technologies company needs to be successful in delivering, scaling, and supporting solutions</li><li>Subject matter expert for generating insights from data and machine learning models</li><li>Transform data and insights into intuitive & interactive visualizations</li><li>Work with contractors to deliver products and services for the company's customers. </li><li>Conduct Pilots with the company's customers and measure value</li><li>Transition successful pilots into commercial applications</li><li>Ensure design and implementation of technologies that comply with security standards and application architecture principles (in alignment with platform architects and respective review boards) and that consider state of the art data and analytics concepts</li><li>Review code/solutions developed by team prior to migration to production</li></ul>

Data Engineer We are offering an exciting opportunity for a Data Engineer in the Detail Oriented Services industry, stationed at our New York location. The chosen candidate will be tasked with handling a variety of responsibilities related to data engineering including, but not limited to, Azure Data Bricks, Data Lake, Synapse, Spark, Unity Catalog, and Data Governance. Responsibilities • Utilize Azure Databricks to process and analyze large datasets • Develop and maintain Azure Data Lakes to store and manage data • Work with Azure Synapse Analytics to extract valuable insights from data • Leverage Spark for big data processing and analytics • Implement Unity Catalog for data organization and management • Uphold Data Governance principles to ensure data accuracy and integrity • Utilize Python for data science and machine learning tasks, as necessary • Provide detail oriented consulting services based on extensive industry experience.

Data Analyst Duties and Responsibilities: Data Analysis and Insights:<ul><li>Collect, clean, and preprocess large datasets from various sources to ensure data integrity and accuracy.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.</li><li>Generate actionable insights to provide solutions to business challenges.</li></ul>Python-Based Data Operations:<ul><li>Develop and maintain Python scripts for data manipulation tasks, automation, and reporting workflows.</li><li>Design reusable Python modules, libraries, and frameworks to standardize data analysis processes.</li><li>Work with Python-based tools and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, plotly) for advanced data analysis and visualization.</li></ul>Collaboration and Reporting:<ul><li>Collaborate with data engineers, business analysts, and stakeholders to understand business requirements and deliver data-driven recommendations.</li><li>Create interactive dashboards and reports using visualization tools like Power BI, Tableau, or Python-based libraries.</li></ul>Data Optimization and Quality Assurance:<ul><li>Identify and implement ways to improve data quality, accessibility, and reliability.</li><li>Conduct regular audits to ensure data accuracy and consistency.</li></ul>Emerging Technology Exploration:<ul><li>Stay updated with trends in Python, machine learning, and AI to recommend and implement tools or practices that enhance the data analytics workflow.</li></ul>

Data Scientist We are in search of an entry to junior level Data Scientist to be a part of our team, based North of Dallas, TX. The individual will be a key player in the retail industry, using their analytical abilities and knowledge of data mining, statistical modeling, and machine learning to influence strategic business decisions. You will be instrumental in transforming data into actionable insights and fostering a data-driven culture within our team. Responsibilities<ul><li>Utilize advanced statistical models and machine learning algorithms to derive insights from complex datasets</li><li>Conduct comprehensive data exploration to discover trends, patterns, anomalies, and insights</li><li>Collaborate closely with stakeholders to comprehend business requirements and convert them into analytical projects</li><li>Translate intricate analytical findings into clear, understandable recommendations for upper management</li><li>Lead multiple analytics projects concurrently from start to finish, managing timelines and resources effectively</li><li>Develop strategies for project plans, timelines, and resource allocation</li><li>Ensure the successful delivery of insights that influence business performance</li><li>Design visualizations, interactive dashboards, and reports utilizing tools like Power BI to effectively communicate insights</li><li>Automate reporting processes to enhance efficiency and accuracy</li><li>Stay up-to-date on industry trends, tools, techniques, and emerging technologies in advanced analytics and data science</li><li>Experiment with new methodologies to continuously improve analytical capabilities</li><li>Challenge the conventional with data and innovative thinking.</li></ul>

Quantitative Researcher Join a leading investment firm in Boston that leverages data-driven insights, innovative strategies, and state-of-the-art technology to deliver exceptional portfolio performance. We seek a talented Quantitative Researcher with a strong development background and a passion for financial markets to contribute to our investment success. Position Summary:As a Quantitative Researcher, you will play a key role in driving investment performance by combining your technical expertise with strategic research. Your responsibilities will include rigorous data analysis, statistical modeling, and the development of robust tools for investment decision-making. You will conduct hypothesis-driven research to design, test, and implement predictive signals that forecast asset prices while partnering with a collaborative team of financial experts and technologists. Key Responsibilities:<ul><li>Data Analysis: Explore, analyze, and interpret large, complex datasets to uncover actionable insights that inform trading strategies.</li><li>Statistical Modeling: Develop and implement advanced statistical and machine learning models to predict asset price movements and enable optimal portfolio construction.</li><li>Software & Tools Development:</li><li>Build, scale, and maintain production-ready tools and software for data analysis, portfolio simulations, predictive modeling, and trade execution.</li><li>Write clean, efficient, and production-ready code in Python, R, SQL/PostgreSQL while ensuring integration into existing systems.</li><li>Hypothesis-Driven Research: Conduct research on financial markets, including creating, testing, and iterating predictive signals to forecast asset price behaviors.</li><li>Collaboration: Work closely with portfolio managers, data engineers, and technologists to align strategies with investment objectives.</li><li>Documentation: Document methodologies, code, and processes for reproducibility and knowledge sharing.</li></ul>

Technical Program Product Manager III Senior Product Manager – Technical (Fleet and Packaging Marketing Measurement and Analytics)Job SummaryAre you passionate about working on cutting-edge initiatives that break new ground? Do you thrive in fast-paced, innovative environments where you can pioneer advanced approaches to marketing and measurement? We are seeking a talented Senior Product Manager – Technical to lead measurement design, operational analytics, and data-driven strategies for a growing media channel that uses fleet and packaging as marketing opportunities. This role is highly cross-functional and will work closely with engineering, science, operations, and marketing teams to build best-in-class analytics systems and models that enhance marketing efficacy while tracking operational performance.Key ResponsibilitiesThe Senior Product Manager – Technical will:<ul><li>Define the measurement vision, roadmap, and end-to-end strategy for fleet and packaging media channels, ensuring alignment with business goals.</li><li>Collaborate with engineering and science teams to design, develop, and launch data-driven measurement models and analytics capabilities that assess creative marketing effectiveness and operational impact.</li><li>Own the creation and delivery of an analytics dashboard toolkit to monitor efficiency, program impact, and campaign performance across markets.</li><li>Scope and lead channel expansion efforts, supported by learnings from existing systems and data insights.</li><li>Ensure regular engagement with cross-functional teams to validate ideas, make tradeoffs, and successfully execute on deliverables.</li><li>Advocate for balance between technical complexity, operational excellence, and meaningful customer insights when prioritizing tech-driven solutions.</li></ul>If you are energized by solving ambiguous challenges, distilling complex problems into actionable solutions, and leading innovative projects, this role could be an ideal match for you. A Day in the LifeThis role provides the opportunity to:<ol><li>Vision and Strategy: Lead the overarching measurement strategy and expand in-market product adoption.</li><li>Roadmap Execution: Define and prioritize projects with the greatest potential to drive impact.</li><li>Collaboration: Work cross-functionally with scientists, engineers, and other stakeholders to deliver creative and effective technical solutions.</li><li>Product Execution: Engage in all stages of development, from ideation to implementation.</li><li>Technical Acumen and Communication: Partner deeply with technical teams while clearly communicating complex concepts to diverse audiences.</li></ol>About the TeamThis role is part of a global marketing team responsible for major brand and retail initiatives. We innovate relentlessly, driving impactful campaigns that are both customer-centric and measurable. Our mission is to make customer lives better every day by inventing scalable solutions and optimizing resources.If your expertise lies at the intersection of technical product management, data analytics, and customer-focused innovation, and you’re excited by opportunities to lead bold initiatives, we encourage you to apply!

Enterprise Architect We are offering a permanent/contract-to-hire employment opportunity for an Enterprise Architect in the manufacturing industry, located in Littleton, Colorado. As an Enterprise Architect, you will play a key role in leading and shaping the architectural vision and strategy for software applications and database utilization across the organization. Responsibilities: • Lead and strategize the design and development of enterprise-level software applications.• Provide thought leadership and serve as an advisor to senior leadership, mentoring a team of architects, engineers, and developers.• Collaborate with cross-functional teams to ensure alignment with organizational goals.• Evaluate and optimize the performance of software applications and network infrastructure.• Drive the adoption of modern technologies and ensure the security and compliance of our software and network solutions.• Lead research and evaluation of emerging technologies such as AI and machine learning.• Develop long-term technology roadmaps for software applications and solutions.• Document architectural decisions, designs, and implementations, and communicate complex concepts effectively.• Deliver executive-level presentations and reports on architectural strategies and developments.• Drive the resolution of complex technical challenges to ensure the scalability and security of our systems.

Senior Systems Engineer We are offering an exciting opportunity for a Systems Engineer to become part of our Engineering team in an industry based in Plano, Texas. In this role, you will be an integral part in satellite systems design, engineering support services, and training activities. You will be working alongside your peers to bring innovation to our programs and solutions, and you will complete engineering projects in a timely, thorough, and accurate manner. Responsibilities:<ul><li>Participate in the design of satellite systems and provide engineering support</li><li>Conduct tests on finished products and system capabilities to ensure quality</li><li>Prepare technical reports by collecting, analyzing, and summarizing information and trends</li><li>Identify and troubleshoot design or fabrication problems with electrical and electromechanical systems</li><li>Provide engineering information by answering questions and requests</li><li>Comply with government regulations to maintain product and company reputation</li><li>Develop technically sound designs that meet contract requirements, good engineering practices, and solve customer needs and problems</li><li>Keep abreast of current state-of-the-art technologies and trends in electrical engineering and suggest product improvement ideas</li><li>Provide high-level technical support to customers and other departments</li><li>Deliver training to employees and customers.</li></ul>

Data Engineer Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senior ETL Engineer - Position WEEKLY HYBRID position with major flexibility! FULL Microsoft On-Prem stack. LOCATION : HYBRID WEEKLY in Des Moines. You must reside in the Des Moines area for weekly onsite . NO travel back and forth and not a remote position! If you live in Des Moines, eventually you can MOSTLY work remote!! This position has upside with training in Azure. IMMEDIATE HIRE ! Solve real Business Problems. Hands-On Technical SENIOR Microsoft Stack Data Engineer | SENIOR Data Warehouse Engineer / SENIOR Data Engineer / Senior ETL Developer / Azure Data Engineer / ( Direct Hire) who is looking to help modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD but FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting. YOU WILL DOING ALL ASPECTS OF Data Engineering. Must have data warehouse & Data Lake skills. You will be in the technical weeds and technical data day to day BUT you could grow to the Technical Leader of this team. ETL skills like SSIS., working with disparate data. SSAS is a Plus! Fact and Dimension Data warehouse experience AND experience.Hands-On Technical Hands-On Technical SENIOR Microsoft Stack Data Engineer / SENIOR Data Warehouse / SENIOR Data Engineer / Azure Data Factory Data Engineer This is a Permanent Direct Hire Hands-On Technical Manager of Data Engineering position with one of our clients in Des Moines up to 155K Plus bonus PERKS: Bonus, 2 1/2 day weekends !

Infrastructure Engineer Robert Half has a very unique and exciting opportunity. Targeting a local Infrastructure Engineer who is a self-starter that can work autonomously or with a team for a variety of different tasks. Can be self-directed and make an impact at a growing company! Here are few examples of the kinds of things you’ll do:• End user support• Provision new employees• Mature usage of Intune and Defender for Endpoint usage• Create and deploy group policies• Identify and implement automation for IT processes

Sr Systems Engineer (Core Infrastructure & VMWare) Our client is looking for a Senior Systems Engineer at their location. The role involves designing, implementing, and managing core IT infrastructure with a focus on VMware technologies. You will play a crucial role in ensuring stability, scalability, and security for our systems. Responsibilities: An industry-leading organization in the food sector is seeking an experienced Senior Systems Engineer to design, implement, and manage core IT infrastructure with an emphasis on VMware technologies. This role is pivotal in ensuring a stable, scalable, and secure environment. Key Responsibilities Infrastructure Management:<ul><li>Design, deploy, and maintain enterprise servers, storage, and networking solutions. Monitor performance, troubleshoot issues, and lead upgrade and migration initiatives.</li></ul>VMware Administration:<ul><li>Oversee VMware vSphere, ESXi, and vCenter to maximize performance and cost-efficiency, including managing virtual machine provisioning, snapshots, and backups.</li></ul>Automation & Security:<ul><li>Develop automation scripts using PowerShell, PowerCLI, and Python. Enforce security best practices and compliance standards.</li></ul>Collaboration & Leadership:<ul><li>Work with cross-functional teams, mentor junior engineers, and document infrastructure processes.</li></ul>

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