Job Search Results for machine learning

Insight Global is searching for a highly skilled Data Scientist to support one of its largest oil & gas compression services clients in Houston, TX. This person will be responsible for building and... More optimizing advanced machine learning models focused on predictive maintenance, with a strong emphasis on time series data analysis. They will leverage Python/PySpark in environments such as Microsoft Azure/Fabric, Jupyter Notebooks, and VS Code to develop and refine models, while also working closely with business stakeholders to translate complex statistical concepts and model outputs into clear, actionable insights. The ideal candidate will have a deep understanding of machine learning and deep learning techniques, strong communication skills, and the ability to explain the ?why? behind their work in a simplified way to non-technical audiences. This position will be based in Houston, TX and will follow a hybrid schedule of 3-4 days onsite. The pay rate for this position will be between $55-62/hr.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and... More premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Senior Data Scientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to... More perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior Data Scientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.What You Will Do:? Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.? Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.? Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.? Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.? Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.? Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.? Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.? Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.? Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.? Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.? Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.? Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.? Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.? Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning. This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Day to day:? Partner with the Field Engineering Enablement team to design and create technical training programs focused on the clients products products for both internal and external audiences. ?... More Create end-to-end, product-centric training content that teaches users how to effectively use the software, including hands-on product usage, learning paths, and badge-aligned coursework. ? Translate Training Requirements Documents (TRDs) into detailed course outlines, storyboards, and complete instructional content. ? Build training materials from scratch, including visual assets, technical demonstrations, and recorded instructional content, ensuring clarity and technical accuracy.? Record technical walkthroughs and product demos; collaborate with post-production teams who handle final editing and processing. ? Design and implement interactive learning elements, requiring hands-on use of technical tools, instructional platforms, and light coding to enhance learner engagement. ? Apply working knowledge of the product as a technology platform to ensure training reflects real-world usage and best practices. ? Develop and validate technical examples and exercises using SQL and Python, aligned to how users interact with Databricks in production environments.? Collaborate closely with engineers, enablement stakeholders, and delivery partners to ensure training content aligns with evolving product capabilities and user needs.Pay Rate: $45-55We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This... More role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A client of Insight Global is seeking a Senior Data Engineer to support a high-impact Connectivity project, focused on building and maintaining scalable data pipelines that ingest, clean, transform,... More and integrate both structured and real-time streaming data. This role partners closely with Data Scientists to deliver production-ready datasets that power advanced analytics and machine learning models.Key ResponsibilitiesDesign, build, and maintain robust data pipelines for both batch and real-time data ingestion, including structured sources and raw streaming data from KafkaClean, transform, and standardize incoming data to ensure high-quality, analytics-ready datasetsIntegrate curated data pipelines with machine learning models developed by Data Science teamsDevelop and optimize workflows using Apache Airflow for scheduling and orchestrationBuild cloud-native data solutions leveraging AWS, including S3, Kubernetes, and related servicesWrite high-quality, scalable code in Python and ScalaSupport deployment, monitoring, and performance tuning of data pipelines in production environmentsCollaborate cross-functionally with Data Scientists, Software Engineers, and Product teams to align data solutions with business needsThis role is 3 days a week onsite in Greenwood Village CO and pays between $60- $70 per hourWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Infrastructure team is seeking a skilled Full-Stack Machine Learning Engineer to join their mission of accelerating the world?s transition to sustainable energy. You will develop in-house tools that... More automate complex processes and empower our engineers to design faster and operate more efficiently. You?ll build scalable, data-driven user interfaces that drive companies internal designs and operations while shaping a sustainable future. Your work will directly impact companies mission by enabling intuitive, visually compelling tools that enhance operational efficiency.What You?ll Do- Design, develop, test, deploy, scale, and maintain user-friendly web applications and tools that automate existing design workflows and visualize machine learning experiments and models- Combine multiple data-sources and leverage millions of data points to build robust and scalable end-to-end learning-based systems. This includes training and evaluation code in Python to back-end and front-end work in JavaScript- Collaborate with cross-functional teams to integrate software systems into companies ecosystem, ensuring seamless deployment and operationBuild dashboards that provide real-time insights into performance, progress, and key metrics for engineers and leadership- Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiencyPresent progress at project milestones to stakeholders and cross-functional teamsPay Range for this role is: $59 - $69 depending on years of experience and educationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We are seeking a Data Scientist to support a high-visibility Air Force capabilities marketing and demonstration effort. This role will focus on developing, analyzing, and integrating data models that... More support operational readiness, capability assessment, and decision-making across a large platform that connects to multiple applications.The ideal candidate is technically strong in Python, SQL, and machine learning, able to work independently from assigned tasks, and comfortable presenting insights to both technical stakeholders and Air Force clients. This team values curiosity, collaboration, and strong communication as much as technical skill. Key ResponsibilitiesAnalyze and model structured and unstructured data using Python-based analytics, including exploratory data analysis (EDA) and anomaly detection.Design, develop, and evaluate supervised and unsupervised machine learning models to assess system performance, readiness metrics, and operational decision support.Build and manage data models, taxonomies, and schemas that enable cross-system interoperability and integration across a large, evolving platform.Integrate data across systems using APIs and SDKs, supporting data pipelines, model workflows, and downstream applications.Contribute to AI-enabled solutions, including basic understanding of LLMs, agent-based workflows, and NLP, while applying good judgment where AI-generated outputs require validation.Collaborate closely with researchers, full-stack developers, and ML engineers to support evolving analytical and agentic workflows.Manage and maintain databases, ensuring data integrity, normalization, and usability in constrained or mission-critical environments.Develop and communicate clear insights, dashboards, and metrics that answer questions such as ?What decisions can we make today?? and ?What are we ready for now??Present findings professionally and confidently to internal teams and external Air Force stakeholders.Compensation:$90,000 - $135,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Data Engineer is responsible for architecting, developing, and maintaining enterprise-scale data platforms that support analytics, operational reporting, and machine learning initiatives. This... More role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.Design and implement large-scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworksDevelop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka StreamsArchitect cloud-native data solutions on AWS or Azure, including serverless componentsBuild and optimize Snowflake data warehouses using dimensional modeling best practicesConduct data discovery and source analysis to support new integrations and transformationsModel complex datasets using normalized, denormalized, star, and snowflake schemasIntegrate external systems through RESTful APIs and automated ingestion frameworksImplement DevOps practices including CI/CD, containerization, and orchestrationDevelop real-time streaming applications using Kafka, Storm, Kinesis, or Pub/SubOperationalize machine learning models in collaboration with data science teamsOptimize performance across queries, pipelines, and distributed workloadsTroubleshoot and resolve complex data issues across upstream and downstream systemsMaintain comprehensive documentation for data pipelines, models, and integrationsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Insight Global is seeking an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100%... More dedicated to AI model design, testing, and deployment. The engineer will work hands-on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next-generation AI technologies.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less