<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>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><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>
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>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>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
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.
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.
We are looking for a highly skilled Senior Software Engineer with expertise in artificial intelligence and machine learning to join our dynamic team in Jacksonville, Florida. This role demands a strong technical background and hands-on experience in developing and operationalizing cutting-edge AI solutions. You will have the opportunity to innovate and create impactful systems using the latest advancements in generative AI, reinforcement learning, and large language models (LLMs).<br><br>Responsibilities:<br>• Design and optimize large language models (LLMs) for specialized applications.<br>• Implement reinforcement learning algorithms and multi-agent systems to enhance automation capabilities.<br>• Develop generative AI tools for efficient data retrieval and visualization.<br>• Establish and maintain MLOps pipelines to ensure seamless deployment and monitoring of AI models.<br>• Collaborate with cross-functional teams to align technical solutions with business needs.<br>• Conduct ongoing research to integrate the latest AI advancements into system designs.<br>• Troubleshoot and resolve technical challenges related to AI model performance.<br>• Document processes and provide technical insights to stakeholders.<br>• Ensure compliance with industry standards and best practices for AI development.
We are looking for a highly skilled Sr. Software Engineer to join our team in Jacksonville, Florida. This role will focus on designing and implementing advanced AI solutions, leveraging cutting-edge technologies such as deep learning and transformer-based models to drive innovation and deliver impactful results. The ideal candidate will bring a combination of technical expertise, strategic thinking, and leadership capabilities to collaborate across teams and shape the future of AI within our organization.<br><br>Responsibilities:<br>• Develop and implement advanced AI models, including deep learning and transformer-based architectures, to address complex business challenges.<br>• Design and build automated pipelines for MLOps, ensuring seamless integration, deployment, and monitoring of AI solutions.<br>• Collaborate with leadership and stakeholders to align AI strategies with organizational objectives, identifying opportunities and mitigating risks.<br>• Lead cross-functional efforts to ensure AI systems are scalable, secure, and optimized for performance.<br>• Publish research findings, represent the organization at industry events, and contribute to safeguarding intellectual property.<br>• Evaluate technical capabilities and cost considerations to balance innovation with practicality in AI projects.<br>• Mentor team members, fostering a culture of collaboration, learning, and resilience.<br>• Continuously refine and improve AI systems based on performance metrics and user feedback.
We are looking for a skilled Automation Engineer to join our team in Wayne, Pennsylvania. This Contract-to-permanent position offers an exciting opportunity to design and implement automation solutions while driving innovation within our operations. The ideal candidate will have expertise in UiPath and additional automation technologies, ensuring efficiency in finance and supply chain processes.<br><br>Responsibilities:<br>• Develop and implement automation solutions utilizing UiPath to streamline manual processes.<br>• Collaborate with finance and supply chain teams to identify areas for automation and improve workflows.<br>• Lead automation projects, ensuring timely delivery and adherence to quality standards.<br>• Mentor interns, providing guidance to help them grow professionally and contribute effectively to the team.<br>• Explore and integrate additional automation technologies, such as Python, to enhance system performance.<br>• Conduct testing and troubleshooting to ensure the reliability of automated systems.<br>• Work closely with stakeholders to gather requirements and translate them into technical solutions.<br>• Maintain documentation for automation processes and provide training to team members as needed.<br>• Stay updated on advancements in machine learning and artificial intelligence to incorporate innovative solutions into projects.
<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 a highly skilled Data Engineer to join our Decision Engine Team in Columbus, Ohio. This position focuses on developing and optimizing real-time customer engagement strategies by leveraging advanced data engineering techniques. As part of a collaborative team, you will play a critical role in creating and maintaining the infrastructure necessary to deliver personalized, data-driven messages across various customer channels. This is a long-term contract position offering the opportunity to work on cutting-edge technology and impactful projects.<br><br>Responsibilities:<br>• Develop, implement, and manage scalable data pipelines that support real-time decision-making and marketing initiatives.<br>• Collaborate with marketing, analytics, IT, and modeling teams to ensure seamless execution of customer messaging strategies across multiple channels.<br>• Conduct thorough testing and validation to ensure data accuracy, integrity, and reliability.<br>• Enhance and integrate decision engine platforms, including tools such as Adobe Campaign, Salesforce, and Unica Interact.<br>• Automate workflows and reporting processes using technologies like Python, Tableau, or cloud-based tools.<br>• Troubleshoot and resolve data-related issues in production environments to maintain system efficiency.<br>• Participate in the deployment of new features and upgrades to the decision engine software.<br>• Manage and catalog curated data assets to facilitate enterprise-wide reuse and governance.<br>• Provide guidance on best practices for data testing, quality assurance, and pipeline optimization.
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
We are looking for a skilled Senior Software Engineer to design and implement innovative software solutions. This role involves creating scalable systems, optimizing performance, and contributing to cutting-edge technologies, including machine learning and vector databases. Join our team in New York, New York, and help shape the future of software development.<br><br>Responsibilities:<br>• Design and develop scalable software solutions using Python and modern architectural patterns.<br>• Build and maintain distributed systems with a focus on multi-threaded programming.<br>• Develop and integrate RESTful APIs to ensure seamless communication between applications.<br>• Optimize data storage and retrieval using MongoDB and Redis.<br>• Explore and implement vector databases such as pgvector and timescale.<br>• Collaborate on machine learning initiatives, including the application of large language models (LLMs).<br>• Utilize cloud platforms like Amazon Web Services (AWS) to enhance system performance and scalability.<br>• Conduct thorough testing and debugging to ensure high-quality software delivery.<br>• Stay updated on emerging technologies to drive innovation within the team.
<p>Our organization is seeking a Senior Software Developer with advanced expertise in at least one of the following languages: Python, Java, C, C#, C++, Go, or Kotlin. The ideal candidate will possess hands-on experience developing software solutions and integrating AI/ML technologies to deliver real business value. You will contribute to the modernization of our technical infrastructure, participate in cross-functional teams, and lead AI/ML projects.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and maintain robust software applications using Python, Java, C, C#, C++, Go, or Kotlin.</li><li>Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver effective AI/ML-powered solutions.</li><li>Build, train, and deploy machine learning models, working with algorithms relevant to our business needs.</li><li>Participate in code reviews and implement best practices for software quality, testing, and automation.</li><li>Modernize legacy codebases and contribute to technical debt reduction through refactoring and adoption of modern design patterns.</li><li>Integrate AI features into existing business software platforms and automate workflows for enhanced efficiency.</li><li>Effectively communicate technical concepts and project outcomes to nontechnical audiences.</li><li>Mentor junior developers and support cross-departmental collaboration on digital transformation projects.</li></ul><p><br></p>
<p>Our organization is seeking a Senior Software Developer with advanced expertise in at least one of the following languages: Python, Java, C, C#, C++, Go, or Kotlin. The ideal candidate will possess hands-on experience developing software solutions and integrating AI/ML technologies to deliver real business value. You will contribute to the modernization of our technical infrastructure, participate in cross-functional teams, and lead AI/ML projects.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and maintain robust software applications using Python, Java, C, C#, C++, Go, or Kotlin.</li><li>Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver effective AI/ML-powered solutions.</li><li>Build, train, and deploy machine learning models, working with algorithms relevant to our business needs.</li><li>Participate in code reviews and implement best practices for software quality, testing, and automation.</li><li>Modernize legacy codebases and contribute to technical debt reduction through refactoring and adoption of modern design patterns.</li><li>Integrate AI features into existing business software platforms and automate workflows for enhanced efficiency.</li><li>Effectively communicate technical concepts and project outcomes to nontechnical audiences.</li><li>Mentor junior developers and support cross-departmental collaboration on digital transformation projects.</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>We are looking for a skilled and innovative Data Engineer to join our team in Grove City, Ohio. In this role, you will be responsible for designing and implementing advanced data pipelines, ensuring the seamless integration and accessibility of data across various systems. As a key player in our analytics and data infrastructure efforts, you will contribute to building a robust and scalable data ecosystem to support AI and machine learning initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop scalable data pipelines to ingest, process, and transform data from multiple sources.</p><p>• Optimize data models to support analytics, forecasting, and AI/ML applications.</p><p>• Collaborate with internal teams and external partners to enhance data engineering capabilities.</p><p>• Implement and enforce data governance, security, and quality standards across hybrid cloud environments.</p><p>• Work closely with analytics and data science teams to ensure seamless data accessibility and integration.</p><p>• Develop and maintain data products and services to enable actionable insights.</p><p>• Troubleshoot and improve the performance of data workflows and storage systems.</p><p>• Align data systems across departments to create a unified and reliable data infrastructure.</p><p>• Support innovation by leveraging big data tools and frameworks such as Databricks and Spark.</p>
We are looking for a talented Sr. Software Engineer to join our team in New York, New York. In this role, you will focus on backend development while working with cutting-edge technologies to design and implement scalable solutions. Ideal candidates will have experience in system architecture and cloud-based platforms, with a passion for building robust and innovative systems.<br><br>Responsibilities:<br>• Develop and maintain backend systems using Node.js and Golang to ensure optimal performance and scalability.<br>• Collaborate with frontend teams utilizing React.js, TypeScript, and Next.js to create seamless user experiences.<br>• Design and implement cloud-based solutions using Docker, Kubernetes, and Google Cloud Platform.<br>• Architect and optimize backend systems to support real-time processing and bidding functionalities.<br>• Work with Kafka to manage and process large data streams efficiently.<br>• Utilize AI and machine learning to enhance ad optimization and performance.<br>• Contribute to the design and development of systems within AdTech platforms.<br>• Perform system design tasks to ensure reliability and scalability of applications.<br>• Troubleshoot and resolve technical issues to maintain system stability and functionality.
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><strong>Lead Firmware Engineer</strong></p><p>Hybrid - 3 days onsite | Austin, TX | Contract-to-Hire</p><p><br></p><p>Our client is seeking a <strong>Lead Firmware Engineer</strong> to join a team focused on researching and prototyping emerging technologies. This team operates across multiple disciplines, including embedded engineering, security and cryptography, backend development, mobile platforms, and machine learning. This role requires a highly capable individual contributor who is a self‑starter, with demonstrated expertise in multiple technical domains and the ability to contribute to forward‑looking engineering initiatives.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Take end‑to‑end ownership of the firmware and software development, including design, analysis, implementation, testing, deployment, documentation, and long‑term maintenance.</li><li>Test and debug firmware code, primarily using programming languages such as C or C++.</li><li>Work closely with hardware engineers to define system requirements and ensure seamless integration between hardware and software components.</li><li>Maintain comprehensive documentation of firmware development processes, including specifications and testing results.</li><li>Analyze and enhance the efficiency, stability, and scalability of firmware systems, staying updated on emerging technologies and trends in firmware development.</li></ul>
<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>
<p>We are looking for an experienced Azure Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data solutions. This position is responsible for developing robust data pipelines, optimizing data workflows, and leveraging the Microsoft Azure ecosystem to deliver high-quality, business-ready data.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, Synapse Analytics, and related Azure services.</li><li>Build and optimize data architectures (data lakes, data warehouses) to support analytics, reporting, and machine learning initiatives.</li><li>Collaborate with data analysts, scientists, and business stakeholders to gather requirements and deliver reliable data solutions.</li><li>Manage data security, privacy, and compliance in line with best practices and company policies.</li><li>Monitor, troubleshoot, and optimize data workflows to ensure scalable and efficient performance.</li><li>Document data schemas, data lineage, and engineering processes.</li><li>Stay up to date with advancements in the Azure platform and recommend new tools or methods to continuously improve our data infrastructure.</li></ul><p><br></p>
