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>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models and machine learning algorithms to optimize business processes.</li><li>Collaborate with IT teams to integrate data science solutions into enterprise systems.</li><li>Create dashboards and visualizations to communicate insights effectively.</li><li>Ensure data security, compliance, and governance standards are met.</li></ul><p><br></p>
<p>Our energy trading company is seeking a Data Scientist to join our advanced analytics team. In this role, you will leverage large datasets, leading edge statistical models, and machine learning to build predictive analytics solutions that drive trading strategies, optimize operations, and enhance decision-making. The ideal candidate combines strong data science expertise with commercial awareness of energy markets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and deploy predictive models to forecast pricing, demand, and market trends in energy trading.</li><li>Collaborate with traders, analysts, and IT to identify opportunities for advanced analytics that directly impact trading performance and risk management.</li><li>Gather, clean, and analyze large and complex datasets from multiple sources (market data, weather, IoT, etc.).</li><li>Apply machine learning, deep learning, and time-series analysis to solve business problems and generate actionable insights.</li><li>Communicate findings and recommendations to both technical and non-technical stakeholders through visualizations, reports, and presentations.</li><li>Monitor and evaluate the performance of deployed models, continuously improving methodologies and tools.</li><li>Stay up-to-date with latest developments in data science, energy markets, and trading technologies.</li></ul><p><br></p>
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>Job Title: Data Scientist – AI/ML (Time‑Series Focus)</p><p>Location: Houston, TX</p><p>Work Arrangement: Onsite Monday–Thursday (mandatory)</p><p><br></p><p>Overview</p><p>We are seeking a Data Scientist with a strong AI/ML focus to support advanced analytics and predictive modeling initiatives. This role is ideal for a hands‑on data scientist who combines deep technical expertise in time‑series modeling with the ability to translate complex data insights into clear business value.</p><p>You will work with diverse datasets to design, train, and deploy scalable machine learning solutions, with opportunities to contribute to projects involving large language models (LLMs), deep learning, anomaly detection, and advanced analytics.</p><p><br></p><p>What You’ll Do</p><ul><li>Analyze structured and unstructured business data to uncover trends and insights</li><li>Design, develop, and deploy time‑series forecasting and anomaly detection models</li><li>Perform feature engineering to improve model performance and reliability</li><li>Build and optimize machine learning and deep learning models using Python</li><li>Collaborate with stakeholders to translate analytical findings into actionable business recommendations</li><li>Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences</li><li>Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise</li></ul>
<p>Our client is seeking a <strong>Data Scientist II – Generative AI</strong> to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p>You will design and implement <strong>GenAI-powered agents</strong> that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
We are looking for a skilled Data Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica.<br><br>Responsibilities:<br>• Develop and implement AI-driven use cases that align with organizational goals and objectives.<br>• Design and optimize data strategies using platforms like Databricks and Informatica.<br>• Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions.<br>• Evaluate and enhance data pipelines to ensure efficient deployment of AI models.<br>• Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations.<br>• Provide guidance on data governance, ensuring adherence to best practices for data quality and security.<br>• Analyze business challenges and translate them into actionable AI solutions that drive results.<br>• Support the integration of advanced analytics frameworks into existing systems and processes.
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>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for a 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>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).</li><li>Strong programming skills in Python (preferred) or similar languages.</li><li>Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.</li><li>Experience with data preprocessing, feature engineering, and model optimization techniques.</li><li>Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Familiarity with big data tools like Spark, Hadoop, or equivalent.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.</li><li>Excellent problem-solving and communication skills.</li></ul><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> </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>About the Role</p><p>Our client is seeking an AI Data Engineer to design, build, and optimize data and AI pipelines within a modern Azure Databricks Lakehouse environment. This role sits at the intersection of data engineering, machine learning enablement, and cloud‑scale analytics, supporting advanced AI initiatives across the organization.</p><p>You will work closely with data scientists, ML engineers, and business stakeholders to deliver high‑quality data products, feature pipelines, and production‑ready AI workflows that power predictive analytics, generative AI, and operational intelligence</p><p><br></p><p>Key Responsibilities</p><ul><li>Design and build scalable data pipelines using Azure Databricks, Spark, and Delta Lake</li><li>Develop and optimize ETL/ELT workflows across Azure Data Lake Storage</li><li>Implement AI‑ready data architectures including feature stores and vector stores</li><li>Productionize ML and generative AI models using MLflow and Databricks Model Serving</li><li>Create and maintain medallion architecture for analytics and AI workloads</li><li>Develop SQL and PySpark transformations for large‑scale datasets</li><li>Integrate Azure services such as Data Factory, Event Hub, and Functions</li><li>Ensure data governance and security using Unity Catalog and RBAC</li><li>Monitor and optimize Databricks clusters for cost and performance</li><li>Support CI/CD automation using Azure DevOps</li></ul><p><br></p>
<p>IoT Edge AI Data Engineer </p><p>Job Posting: IoT Edge Data Engineer – Hi-TECH AI SaaS Company - Direct Hire FTE</p><p>LOCATION: Pittsburgh PA HYBRID IN PITTSBURGH PA </p><p>WORK AUTHORIZATION: F1 OR OPT CONSIDERED for the right candidate</p><p>***** APPLY TODAY IF YOU HAVE EDGE DEVICE IOT DATA ENGINEERING, INTERVIEWS NOW....OFFER IN JANUARY! </p><p>Are you passionate about powering real-time AI and analytics at the intersection of devices, data, and the cloud? Our fast-growing, innovative SaaS fast GTM fast growing, industry disruptor is seeking an experienced IoT Edge AI Data Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting sensor-driven platforms. You’ll be working with cutting-edge edge hardware, including NVIDIA Jetson, and developing solutions that transform raw sensor data into powerful, ML-ready streams and data pipelines.</p><p>YOU MUST HAVE: Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!! THIS IS NOT A data science / data engineering typical role, you must have the EDGE IoT device experience. </p><p>**** To be considered on this pioneering team to Carrie Danger, Robert Half Technology / SVP Permanent Placement and apply to this position.***</p><p>KEYS:</p><p>Design & implement high volume data ingestion pipelines for IoT systems, from device through on-prem infrastructure to cloud platforms.</p><p>Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, & distribution.</p><p>Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams.</p><p>Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows.</p><p>Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols.</p><p>You MUST HAVE on prem hardware device experience: Optimize on-prem and distributed data flows for scalable, resilient performance.</p><p>YOU NEED: </p><p>3–4+ years of data engineering experience—MUST designing and deploying device-to-cloud pipelines for IoT/edge environments.</p><p>Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data engineering.</p><p>Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).</p><p>Data cleansing, data ingestion, and data engineering dealing with getting data OFF OF Edge devices!!!</p><p>MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration</p><p>Strong software engineering skills: Python, C++.</p><p>Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases.</p><p>Experience with on-premises distributed systems & cloud integration. </p><p>Prior work with edge AI or industrial IoT, developing robust real-time data pipelines.</p><p>hardware/software integration</p><p>Direct Hire FTE direct hire position up to $135K, plus potential other incentives. For immediate & confidential consideration on this IoT Edge AI Data Engineer = Hybrid in the Pittsburgh PA or Des Moines Iowa Market, please call Carrie Danger, SVP at 515-259 6087, or apply via LinkedIn. </p>
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our dynamic team in Houston, Texas. This Contract to permanent position offers a unique opportunity to work on cutting-edge agentic software development, where autonomous AI agents play a critical role in building and optimizing healthcare technology solutions. The ideal candidate will be eager to contribute to innovative projects, leveraging AI techniques to transform traditional processes and drive automation within the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines and integrations using AI-based techniques and tools such as Azure Data Factory and Event Hub.<br>• Work collaboratively with cross-functional teams to identify automation opportunities and develop intelligent workflows.<br>• Develop and deploy autonomous agents to interact with data systems, monitor processes, and generate actionable insights.<br>• Build and support data warehousing and analytics platforms utilizing Azure Synapse, Data Lake, and Power BI.<br>• Enhance data processing and decision-making capabilities by integrating machine learning models and AI techniques.<br>• Ensure all solutions adhere to security standards and compliance requirements while being optimized for deployment in Azure environments.<br>• Participate actively in Agile ceremonies and contribute to the continuous improvement of engineering practices.<br>• Explore innovative approaches to agentic software development, pushing the boundaries of automation and AI implementation.
<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 are looking for an experienced Python Data/ML/AI Engineer to join our team in Tampa, Florida. This is a contract position with the potential for a long-term opportunity, offering the chance to work on challenging projects while contributing to the design and development of advanced data solutions. The ideal candidate will possess a strong background in data engineering, analytics, and database management, and will play a key role in transforming data into actionable insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement business intelligence solutions tailored to user requirements and organizational goals.</p><p>• Collaborate with stakeholders to gather technical and functional requirements, ensuring the successful creation of reporting solutions.</p><p>• Design, model, and maintain databases and data marts that support analytical and reporting needs.</p><p>• Build and manage ETL processes to efficiently load data into data repositories.</p><p>• Monitor and enhance data quality, recommending governance practices and controls for self-service analytics.</p><p>• Create automated validation and reconciliation checks to ensure data accuracy and integrity.</p><p>• Design data warehouses and implement dimensional modeling techniques such as star and snowflake schemas.</p><p>• Utilize programming languages like Python to clean, merge, and reshape data for analysis.</p><p>• Write optimized queries, functions, and stored procedures for databases such as SQL Server and PostgreSQL.</p><p>• Debug and troubleshoot issues across application and database layers to ensure seamless operations.</p>
<p><strong><em><u>Client </u></em></strong>= Consumer Insights Marketing & Rewards Platform w/ Fortune 1000 clientele</p><p><strong><em><u>Job Title</u></em></strong> = Sr. ML Engineer</p><p><strong><em><u>Location </u></em></strong>= Hybrid 3x onsite per week in El Segundo or Thousand Oaks</p><p><strong><em><u>Top Requirements (Must Haves)</u></em></strong></p><p> -- Bachelor's or higher in a related field + 3+ years of experience as a ML Engineer</p><p> -- Expertise in Python for writing production-quality code and SQL for big data exploratory analysis and feature engineering</p><p> -- Proven expertise in machine learning techniques and algorithms (e.g., DNN, Boosting Trees, Random Forests) with the ability to evaluate and adapt models to specific situations</p><p> -- Hands-on expertise with cloud data environments + containerization like Docker and Kubernetes + large scale distributed computing</p><p> -- Comfortable working with overseas teams (EU and India) and working outside of typical work hours from time-to-time</p>
<p>Our client, a leading organization in the oil and gas sector, is building next‑generation digital solutions powered by agentic AI, Azure cloud services, and modern .NET/Blazor applications. We are seeking a Senior Full Stack Engineer who is passionate about designing intelligent systems, building high‑performance UIs, and delivering enterprise‑grade software that directly impacts operational efficiency, safety, and decision‑making across the energy value chain.</p><p>This role offers the opportunity to work on real autonomous AI agents deployed into industrial workflows—paired with secure, interactive Blazor interfaces used by engineers, operators, and leadership. If you enjoy solving complex problems, working with emerging AI technologies, and building polished user experiences in a mission‑critical environment, this position will be a strong match.</p><p><br></p><p>Design and build agentic AI workflows using Azure OpenAI, Azure AI Foundry, and orchestration frameworks.</p><p>Develop Blazor Server and WebAssembly applications that serve as the control layer for autonomous agents, dashboards, and human‑in‑the‑loop interactions.</p><p>Build secure, scalable .NET backend services including APIs, microservices, and integration layers.</p><p>Implement RAG pipelines, vector search, embeddings, and knowledge stores to support intelligent decision‑making.</p><p>Collaborate with domain experts in drilling, production, and operations to translate complex business needs into AI‑enabled software solutions.</p><p>Optimize SQL Server databases and data access layers using Entity Framework Core.</p><p>Build real‑time UI experiences using SignalR, Blazor components, and Azure event‑driven architectures.</p><p>Contribute to CI/CD pipelines using Azure DevOps for automated testing, deployment, and monitoring.</p><p>Promote engineering best practices, code quality, and maintainability across the stack.</p><p>Participate in architecture discussions involving cloud, AI, security, and scalability.</p>
<p>Job Duties and Responsibilities:</p><p>• Develop and maintain simple to complex Workday reports, including matrix and composite reports, utilizing Workday Report Writer and Report Designer</p><p>• Deliver meaningful metrics, trends and analytical insights via Workday reporting and dashboards</p><p>• Analyze, design and build new custom reports using standard Workday reporting functionality (ex: Report Writer, Calculated Fields)</p><p>• Ensure custom reports function as designed based on business requirements</p><p>• Provide support for existing custom reports in Workday</p><p>• Ability to document the report function and design to facilitate maintenance</p><p>• Participate in report reviews, including understanding and ensuring security and data privacy standards</p><p>• Provide analysis of impacts to reporting based on new releases or updates to system functionality and recommend/apply changes</p><p><br></p><p>Preferred Knowledge, Skills and Abilities:</p><p>• Proficiency in Workday HCM report writing (advanced Workday Report Writer and Calculated Fields)</p><p>• Analytical, mathematical and problem-solving skills</p><p>• Ability to understand the business requirements, user needs and translate them into operational requirements</p><p>• Ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy</p><p>• Proven ability to perform with a high degree of accuracy and with highly confidential data</p><p>• Working knowledge of HR/Finance information systems, including experience in designing, building and testing reports in various HR/Finance applications</p><p>• Ability to prioritize workload and execute tasks independently, providing timely follow-up and resolution</p><p>• Strong problem solving, troubleshooting and analytical skills </p><p><br></p><p>Qualifications:</p><p>• Bachelor’s Degree or equivalent experience in reports management</p><p>• Workday experience or training preferred</p><p>• 2+ years of experience with HR/Finance applications and report development tools such as Business Objects, Crystal, and Workday Report Writer</p><p>• HR/Finance functional experience preferred</p>
<p><strong>Overview:</strong></p><p>We are seeking an AI Product Lead to drive innovation and oversee AI-focused initiatives within our organization. This role is ideal for someone with a strong understanding of the AI domain and a passion for shaping product strategy and stakeholder engagement. While technical knowledge is a plus, this position emphasizes product discovery, consultation, and project scoping rather than hands-on development.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead project discovery and stakeholder engagement for AI initiatives.</li><li>Define scope and roadmap for AI-related projects across departments.</li><li>Serve as the primary liaison for AI projects, ensuring alignment with business goals.</li><li>Oversee Q& A sessions and provide guidance to internal teams on AI capabilities.</li><li>Collaborate with cross-functional teams using Microsoft Teams; familiarity with Azure and Jira is beneficial.</li><li>Transition role focus over time as AI strategy evolves.</li></ul>
