Job Search Results for machine learning

The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine learning solutions that enhance customer interactions, automate... More decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data driven insights, and automation frameworks in collaboration with cross functional engineering, product, and support teams.AI Driven Interactions & AutomationDesign and implement AI powered conversational flows and automated decisioning logic.Build secure data integrations to enable real time processing and intelligent responses.Optimize large language model (LLM) workflows for accuracy, performance, and usability.Data Analytics & Predictive ModelingApply machine learning techniques to structured and unstructured data from various systems.Develop predictive models to identify trends, detect anomalies, and support proactive decision making.Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.Real Time Intelligence for Internal TeamsIntegrate AI driven insights into internal tools to support agents and operations teams.Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.Automated Workflows & Operational SafetyBuild diagnostic and remediation automation with appropriate safety, governance, and auditability controls.Ensure all automated actions adhere to defined compliance, authorization, and security rules.Develop dashboards and reporting tools for system health, workflow performance, and model metrics.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 engineer owns backend components that support capabilities across the sourcing organization. This includes building foundational platforms used by multiple downstream teams rather than single... More features. The role involves enabling machine learning systems to move reliably from development into production, including support for deployment, monitoring, and lifecycle workflows. The engineer modernizes and refactors existing Java services as needed to support future scalability. System design responsibilities include ensuring high availability, fault tolerance, performance, and security. The engineer contributes to technical roadmaps, platform evolution, and architectural direction while maintaining strong code quality and testing standards. The role also includes mentoring through collaboration, technical discussion, and example. Success requires operating effectively in a fast changing environment with high context and minimal day to day direction. This engineer builds and maintains backend Java services that support future AI and machine learning use cases across sourcing. Daily work includes designing platform components, integrating ML outputs into production systems, deploying services to the cloud, and improving reliability and performance. The engineer works independently, partners closely with senior Java and ML engineers, and frequently prototypes new approaches to solve ambiguous problems.Compensation:$50/hr to $54/hr.Exact compensation may vary based on several factors, including skills, experience, and education.Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.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

As a Senior Data Scientist, you?ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across... More ADUSA?s digital platforms. You?ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency. Key Responsibilities? Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.? Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.? Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.? Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.? Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.? Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.? Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.? Contribute to shared best practices, documentation, and continuous improvement of ADUSA?s advanced analytics ecosystem.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

Translate business needs (e.g., risk management, claims, operations) into well-scoped data science solutions aligned to KPIsDesign, build, and deploy:Machine learning modelsOptimization modelsNLP... More solutions for claims/incident analysisDevelop models to:Predict incident escalation into claimsClassify claim severity and financial impactIdentify high-risk scenarios for proactive interventionPerform data profiling, cleansing, and feature engineering across structured and unstructured datasetsApply NLP techniques to extract insights from incident and claims narrativesBuild record linkage solutions to connect disparate datasetsCollaborate with cross-functional teams (Risk, Legal, Data Engineering, BI, Governance, MLOps)Validate, monitor, and continuously improve model performance (drift, retraining, scoring quality)Generate explainable outputs (risk drivers, model reasoning) for business stakeholdersDocument models, assumptions, methodologies, and governance considerationsPresent insights and recommendations clearly to both technical and non-technical stakeholdersStay current on advancements in AI/ML and integrate new approaches as appropriateMentor junior data scientists and contribute to team developmentWe 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

Innovation and Prototyping: Explore and create prototypes that shape the future of XR and AI interactions.? Collaboration: Work closely with interaction designers, scientists, product managers,... More engineers, and researchers to bring great experiences from concept to implementation.? User Research: Collaborate with user research and design teams to test, iterate on prototypes, and conduct experiments based on research questions.? Technology Awareness: Stay informed about the latest advancements in machine learning, NLP, and related technologies.? Research Advocacy: Contribute to research growth across teams by sharing research trends and best practices within the community.? Communication: Clearly explain prototyping decisions to a diverse group of internal stakeholders.? Process Development: Assist in establishing prototyping processes to align cross-functional teams.? Feedback and Improvement: Actively give and seek feedback to enhance the quality and craftsmanship of the product.? Documentation: handover materials for knowledge transfer, across written guides, wikis and repositories.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

Insight Global is partnering with a Technology company located in West Palm Beach, FL who is looking for a Mid-Level Computer Vision Engineer to sit onsite. Our clients AO enables mobile robots,... More autonomous drones and unmanned submersibles to understand what they're seeing in our customer's dynamic, real-world environments, alerting human co-workers to potential safety, security, and maintenance anomalies. These automated inspections solutions keep humans out of harm's way, enhance system reliability, reduce operating costs and increase asset performance.The ideal candidate will have a strong background in machine learning, deep learning, and image processing techniques. You will work on developing algorithms and models for various computer vision applications to solve complex problems. Our target salary is $125K-150KWe 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 a Principal Data Scientist. This role focuses on building and delivering AI-driven solutions to improve decision-making across the supply chain. It combines data science,... More software engineering, and supply chain expertise to help leaders better understand and respond to disruptions, manufacturing challenges, and logistics issues. The position leverages SAP ECC data and modern analytics to create scenario-based models that allow teams to anticipate risks and make smarter, faster decisions. This is a hands-on technical role requiring strong coding skills, experience with machine learning and optimization, and the ability to turn complex supply chain problems into scalable AI solutions.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 Principal AI Architect is a senior technical leadership role responsible for defining and governing enterprise-wide AI, GenAI, and MLOps architecture. This role sets the long-term vision,... More reference architectures, and reusable patterns for scalable, secure, and responsible AI adoption across the organization. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications.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

Insight Global is seeking a Database Configuration Management Specialist in Suffolk, VA. This team supports the Joint Training AI Realism & Acceleration effort by ensuring training, simulation, and... More AI systems are built on consistent, high-quality, and interoperable data. They design and maintain data standards, schemas, and pipelines that allow operational, exercise, and analytics data to be reliably integrated across joint training tools and AI/ML environments. The team?s work enables accurate simulation behavior, advanced analytics, and AI-driven insights by making sure the right data is available, governed, and usable throughout the training lifecycle.Essential Job Responsibilities:? Lead end-to-end data science workflows, including problem formulation, data acquisition, feature engineering, model development, evaluation, deployment, and lifecycle monitoring.? Translate operational and training objectives into data-driven solutions by defining data requirements and analytical approaches for integrating advanced AI/ML models into JTSE and Joint Training Tools.? Design and maintain scalable data pipelines and architectures that support real-time and near-real-time ingestion, processing, and analysis of operational and test & evaluation data.? Develop, train, and fine-tune machine learning models (including large-scale and foundation models) to enhance simulation, decision support, and training outcomes.? Ensure data interoperability and consistency across multiple sources, systems, and stakeholders within a unified analytics environment.? Integrate AI/ML models into simulation and synthetic environments, including Fully Informed Simulation Environment (FISE), to enable advanced analytics and scenario generation.? Define and enforce data standards, schemas, and governance practices to ensure data quality, usability, and compliance.? Support exercise planning, execution, and after-action analysis by enabling robust data collection, synchronization, and advanced analytics (predictive modeling, anomaly detection, performance metrics).? Collaborate with cross-functional teams across government, industry, and mission partners to align analytical solutions with operational needs and modernization goals.? Conduct model validation, testing, and performance evaluation to ensure accuracy, robustness, and mission relevance.? Identify and mitigate risks related to data quality, model bias, scalability, and performance.? Support MLOps/DevSecOps practices to enable secure, reproducible, and continuous delivery of data science solutions.? Document data pipelines, models, methodologies, and analytical findings for technical and non-technical stakeholders.Compensation:$48/hr to $50/hr.Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off 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

Insight Global is leveraging Generative AI and Machine Learning to automate workflows and deliver high-impact outcomes for Capital Markets front-office and business teams. Use cases are driven by... More business stakeholders and may span decision support, workflow automation, document intelligence, data augmentation, advisor or trader tooling, and other opportunities where AI can reduce friction, improve speed, or enhance decision-making. the successful candidate will be on site in Montreal, Toronto or Vancouver 2 days on site knowing it may be 4 later in 2026.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