R Systems

About the Company

R Systems is a leading digital product engineering company that designs and builds next-gen products, platforms, and digital experiences empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency.

We constantly innovate and bring fresh perspectives to harness the power of the latest technologies like cloud, automation, AI, ML, analytics, Mixed Reality etc. Our 4,300+ technology expeditioners across 28 offices are driven to explore new digital paths, leaving no stone unturned in our quest to deliver business solutions that drive meaningful impact.

Our product mindset, capabilities and tools allow us to partner with Tech industry which is no longer limited to ISV and SaaS companies, but also include Telecom, Media, FinTech, InsureTech and HealthTech players, and enable faster new feature release with full ownership and integration into the CI-CD pipeline.

Listed Jobs

Company Name

R Systems

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Lead the design, development, and deployment of Generative AI solutions with Six Sigma rigor to improve network and customer operations. Integrate LLMs, RAG, and advanced modeling into scalable pipelines, ensuring statistical stability and high ROI. **Expectations:** - Deliver production‑ready AI models that drive measurable business outcomes. - Demonstrate Six Sigma Black Belt discipline in end‑to‑end data science workflows. - Translate technical insights into actionable strategies for executive stakeholders. **Key Responsibilities:** - Research, prototype, and implement LLMs and Retrieval‑Augmented Generation (RAG) for workflow automation. - Apply DMAIC methodology to diagnose process inefficiencies and deploy AI solutions. - Build, validate, and maintain predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit‑learn. - Optimize data pipelines for speed and inference efficiency in Databricks/AWS environments. - Monitor model performance through Design of Experiments, hypothesis testing, and Statistical Process Control. - Manage MLOps lifecycle: versioning, deployment, and monitoring in cloud environments. - Serve as a technical liaison between AI teams and executive leadership, conveying results in Six Sigma terms. **Required Skills:** - Generative AI: LangChain, LlamaIndex, Vector Databases (Pinecone, Milvus), model fine‑tuning. - Data Engineering: Advanced SQL, PySpark for large‑scale data preparation. - Statistical Analysis: DoE, hypothesis testing, SPC for drift detection. - MLOps: Model versioning, deployment on Azure/AWS. - Programming: Python, PyTorch, Scikit‑learn. **Required Education & Certifications:** - Master’s or PhD in a quantitative discipline (Statistics, Computer Science, Engineering). - Lean Six Sigma Black Belt or Six Sigma Black Belt certification. - 5–7+ years of data science leadership experience in AI‑driven environments.

Aurora, United states

On site

15-01-2026

Company Name

R Systems

Job Title

IAM Engineer

Job Description

**Job Title:** IAM Engineer **Role Summary:** Engineer advanced identity and access management (IAM) solutions using Okta, ForgeRock, and Ping Identity, integrating with cloud and on‑prem environments, automating workflows, and ensuring compliance with security standards. **Expectations:** - Deliver secure, scalable IAM implementations that meet business and regulatory requirements. - Maintain and troubleshoot IAM platform components, integrations, and automation scripts. - Collaborate with cross‑functional teams to align IAM strategy with organizational goals. **Key Responsibilities:** - Deploy, configure, and manage Okta (SSO, MFA, Workflows), ForgeRock (OpenAM, OpenIDM, OpenDJ, OpenIG), and Ping Identity (PingFederate, PingAccess, PingDirectory). - Implement authentication protocols (OAuth, SAML, OpenID Connect, Kerberos) and federation concepts across domains. - Design and execute automation using Java, Python, JavaScript, Groovy, and PowerShell for provisioning, deprovisioning, and system integrations. - Integrate IAM services with AWS cloud, SaaS applications, on‑prem systems, and custom APIs (RESTful). - Manage SSL/TLS, PKI, and encryption across the IAM stack. - Ensure compliance with GDPR, HIPAA, SOC 2, and other applicable regulations. - Utilize DevOps tools (Jenkins, Docker, Kubernetes, Terraform) to deploy and maintain IAM infrastructure. - Troubleshoot issues, conduct root‑cause analysis, and provide documentation and knowledge transfer. **Required Skills:** - Deep experience with Okta, ForgeRock, or Ping Identity platforms. - Strong knowledge of OAuth, SAML, OpenID Connect, & Kerberos. - Proficient in Java, Python, JavaScript, Groovy, & PowerShell. - API integration experience with RESTful services. - Familiarity with AWS IAM, Azure AD, or other cloud IAM solutions. - Understanding of SSL/TLS, PKI, encryption best practices. - Knowledge of GDPR, HIPAA, SOC 2 compliance. - DevOps experience (Jenkins, Docker, Kubernetes, Terraform). - Excellent problem‑solving, analytical, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, or related field. - Okta Certified Professional (or equivalent) - ForgeRock Identity Management Specialist (or equivalent) - Ping Identity Certified Professional (or equivalent)

Sacramento, United states

Hybrid

11-02-2026

Company Name

R Systems

Job Title

Artificial Intelligence Engineer

Job Description

Job Title: Artificial Intelligence Engineer Role Summary: Design, develop, and deploy AI/ML models and data pipelines to enhance decision‑making, customer interactions, and content generation across enterprise systems. Expections: Minimum 8 years overall experience with at least 2 years dedicated to AI/ML; strong background in machine learning, data engineering, and NLP; ability to lead model development from concept to production. Key Responsibilities: - Build and optimize scalable AI/ML models to support business analytics and predictive capabilities. - Design, implement, and maintain end‑to‑end data pipelines and feature stores. - Deploy and monitor Large Language Models (LLMs) for NLP tasks such as sentiment analysis, chatbots, and automated content generation. - Collaborate with cross‑functional teams to integrate AI insights into operational workflows. - Ensure model interpretability, explainability, and compliance with data privacy regulations. - Evaluate and incorporate AutoML, graph analytics, and other emerging AI techniques. - Troubleshoot and refine models for performance, bias, and fairness. Required Skills: - Machine learning and data engineering expertise. - Proficiency in Python or R with experience in ML libraries (TensorFlow, PyTorch, Scikit‑learn). - Advanced SQL for data manipulation and querying. - Experience with data pipeline tools (Airflow, Kafka, Spark, etc.). - Knowledge of LLMs, NLP techniques, and model interpretability methods. - Familiarity with AutoML, graph analytics, and XAI concepts. - Strong communication and collaboration skills; agile development mindset. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Statistics, or related field (Master’s or PhD preferred). - Proven record of 8+ years in data, analytics, or AI/ML roles with 2+ years focused on AI.

Denver, United states

On site

Senior

05-03-2026

Company Name

R Systems

Job Title

Data Analyst

Job Description

Job Title: Data Analyst Role Summary: Extracts, cleans, and analyses data to deliver actionable insights and support business decisions, while designing impactful visualizations and dashboards. Expactations: - Deliver clear, data‑driven recommendations that influence product and customer‑experience outcomes. - Maintain high standards of accuracy, efficiency, and presentation across all analytical deliverables. Key Responsibilities: - Lead initiatives to clarify business requirements for data projects with client teams. - Define metrics, design ETL workflows, and integrate new reference data sources. - Extract, transform, and engineer data for analytical use. - Interpret data, formulate hypotheses, and develop analytical approaches aligned with business goals. - Create customer‑readable reports and dashboards using Tableau, PowerBI, Excel, and similar tools. - Visualize and present findings to both technical and non‑technical stakeholders, facilitating decision‑making. - Ensure reports and dashboards are elegant, scalable, and industry‑leading. Required Skills: - Native or fluent communication in English (reading, writing, speaking). - Advanced data analysis, interpretation, and presentation capabilities. - Strong problem‑solving, decision‑making, and prioritization under pressure. - Mastery of advanced analytics processes and reporting design principles. - Proficiency in SQL and at least one of Python or R. - Expertise in data visualization design and implementation (Tableau, PowerBI, Excel, etc.). - Effective oral and written communication, including explaining complex technical concepts across organizational levels. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - 10+ years of experience in a data platform/data‑analysis environment and 10+ years in customer‑facing product/services roles.

Denver, United states

On site

Senior

13-03-2026