Sunray Enterprise, Inc. delivers cutting-edge AI, machine learning, deep learning, data analytics, and IT staffing solutions — helping organizations harness intelligence at every layer of their business.
From crafting deep learning architectures to placing elite AI engineers, Sunray covers every angle of your technology transformation. Click any area to learn more.
Contract, contract-to-hire, and permanent placement of AI engineers, data scientists, architects, and IT leaders.
End-to-end ML pipelines, model design, training, fine-tuning, and productionization for real-world business outcomes.
Neural network architectures — CNNs, transformers, LLMs — custom-built and optimized for your domain and data.
Custom algorithm design and optimization: classification, prediction, recommendation, anomaly detection, and search.
Data pipelines, lakehouse architectures, BI dashboards, and analytical models that turn raw data into decisions.
Generation, curation, validation, and governance of synthetic datasets to train robust, unbiased AI systems.
Founded in 2001 and recognized as one of America’s fastest-growing companies, Sunray has evolved alongside every wave of technology — and is leading the charge into the AI era.
We tie every engagement to measurable business results, not billable hours.
Our team includes algorithm specialists and published ML practitioners.
Rapid prototyping to production — proof-of-concept to live system in weeks.
Offices in Atlanta, Rhode Island, and Bangalore with a distributed talent network.
Beyond AI, our foundational IT capabilities remain best-in-class. Click any area to explore what Sunray has delivered.
Scalable, cloud-native, event-driven system design.
Full-stack, mobile, and API development across all major stacks.
Agile, Scrum, and hybrid delivery for complex programs.
Profiling, optimization, and scaling for high-traffic systems.
Click any case study to view all our work in detail.
Built a gradient-boosted ML model to predict 30-day readmission risk, integrated into an EHR workflow for a Southeast hospital network.
Designed a CNN-based visual inspection pipeline to detect shelf gaps and mislabeled products in real time across 200 store locations.
Architected a streaming data pipeline with anomaly detection algorithms processing 400K transactions per minute for a fintech platform.
Whether you need an AI strategy, a team of expert engineers, or a fully managed delivery partner — Sunray is ready.
A technology company built on trust, innovation, and 25+ years of delivering results for enterprises across North America.
Founded in Atlanta in 2001, Sunray Enterprise, Inc. began as a specialized IT staffing firm. Over two decades we have grown into a full-service technology partner — now at the forefront of AI, machine learning, and intelligent systems. We are NMSDC- and WBENC-certified, minority- and women-led, and proudly headquartered in Atlanta with a global delivery footprint.
2001, Atlanta, GA
Atlanta · Providence · Bangalore
2,500+
Active in 40+ U.S. states
To be the premier AI and IT solutions partner for organizations seeking intelligent transformation — from strategy to sustainable competitive advantage.
To build lasting client relationships through problem-solving, collaboration, and the bold application of emerging technology — delivering measurable business impact every time.
Integrity in all we do. Respect for every person. Excellence as the standard. Innovation as the engine.
At Sunray, diversity is a competitive advantage. Our team brings together varied backgrounds, cultures, and perspectives that make our solutions sharper and our workplace stronger.
Expanding AI/ML practice: deep learning, synthetic data management, and intelligent automation services launched as core offerings.
Pivoted to data science and machine learning delivery. Built internal AI competency center with algorithm specialists and data engineers.
Opened New England office in Pawtucket, Rhode Island to serve northeast enterprise clients.
Opened offshore delivery center in Bangalore, India. Expanded into end-to-end software product engineering.
Active in nearly 70% of the contiguous United States with a growing national client base.
Became a primary staff augmentation vendor for multiple Fortune 500 companies.
Recognized as one of America’s fastest-growing 500 companies by Inc. magazine. 50+ consultants active throughout the U.S.
Founded in Atlanta, GA as a specialized IT staffing firm with a mission to match exceptional talent with forward-thinking enterprises.
We work with the world’s leading platforms and frameworks to deliver best-in-class AI and IT solutions.
Contract, contract-to-hire, or permanent — we source, screen, and deliver elite technology professionals. Click any option to learn more.
Flexible, fast engagement for project bursts, backfills, and short-term skill gaps. Pre-vetted candidates available in days.
Evaluate talent on the job before making a permanent offer. Reduce hiring risk while building your team.
Targeted search for permanent roles — from senior engineers to C-suite technology leaders.
Our seasoned team of Account Representatives and Recruiters have deep technology understanding. Our service goes far beyond keyword matching — you will receive only the resumes of candidates that are a true match to your requirement.
We work closely with you to understand the role, team dynamics, skills needed, and business context — not just the job description.
We tap our curated network of 2,500+ pre-screened professionals, actively recruit, and apply targeted outreach to find the right fit.
Every candidate is technically screened, reference-checked, and assessed for skills and culture alignment before you see a resume.
You receive a curated shortlist — only qualified candidates that match your requirements. No noise, no filler.
We support the transition from offer to day one and remain your point of contact throughout the engagement.
Tell us what you need and we’ll match you with qualified candidates within 48 hours.
From day one, we have been providing our consultants with the best jobs in the field, for the most competitive wages.
We take care of our consultants the way we take care of our clients — with the utmost professionalism and dedication. We have an established reputation in the field and are extremely selective with what we present to our consultants.
We understand how valuable your time is, and we will not let it be wasted. Submit your resume and you will be contacted regarding new opportunities that suit your skills. We invite you to join our team of talented professionals serving client locations across the United States. Our candidates are equally important to us as our clients and we take utmost care and responsibility for them.
We only present opportunities that genuinely match your skills, experience level, and career goals.
We value your time and work with urgency to minimize any gap between your assignments.
We provide accurate, timely feedback so you can make informed decisions about your next role.
Once on assignment, we are only a phone call away for any questions or concerns, and we will respond as quickly as possible.
Tell your friends and co-workers about us. If we place them on an assignment, we’ll say thank you with a referral bonus!
We consistently place consultants at the most competitive market rates across contract, contract-to-hire, and permanent roles.
Our employees are our most valuable asset. We are committed to providing full encouragement and support to enhance their potential and their contribution to the company’s business. We are confident that you will find working with Sunray to be a seamless and rewarding experience.
We post new openings frequently. Send resumes to hr@sunraycorp.com
Submit your resume and we’ll reach out when a matching role opens.
From strategy and architecture to training, deployment, and monitoring — we build AI systems that perform in production.
We design the right ML approach for your problem: supervised, unsupervised, reinforcement learning, or ensemble methods — with scalability built in from day one.
Feature engineering, model training, validation, CI/CD for models, and automated retraining pipelines using MLflow, SageMaker, or Vertex AI.
CNNs for vision, RNNs/LSTMs for sequence data, and transformer-based architectures including fine-tuned LLMs for enterprise language tasks.
Real-time detection of fraud, equipment failure, security threats, and process deviations using custom statistical and neural models.
Sentiment analysis, entity extraction, document understanding, and intelligent chatbots powered by fine-tuned language models.
Time-series forecasting, demand planning, risk scoring, and recommendation engines tailored to your industry and data.
Business objective mapping, data audit, feasibility assessment, and ROI framing.
Data cleaning, feature engineering, and synthetic data generation where needed.
Algorithm selection, training, hyperparameter tuning, and rigorous evaluation.
Containerized model serving, API integration, and CI/CD pipeline setup.
Drift detection, performance dashboards, retraining triggers, and ongoing optimization.
We build the data foundations that power AI — from raw ingestion to executive dashboards and predictive insights.
Batch and streaming pipelines using Apache Spark, Kafka, dbt, and Airflow — built to scale and built to last.
Modern data architecture on Snowflake, Databricks, BigQuery, or Redshift — optimized for analytics and ML workloads.
Tableau, Power BI, Looker, and custom-built dashboards that surface the metrics that drive decisions.
Hypothesis testing, A/B testing, cohort analysis, and causal inference to turn observations into confident business actions.
Connecting CRMs, ERPs, IoT feeds, APIs, and third-party sources into a unified, governed data platform.
Cataloging, lineage tracking, PII management, and data quality frameworks that make your data trustworthy.
Custom algorithm design and optimization for problems where off-the-shelf solutions fall short.
Not every problem has a library function. Our algorithm specialists design, analyze, and implement bespoke computational methods with rigor from both academic depth and production experience.
Binary and multiclass classifiers tuned for precision, recall, and real-world class imbalance — from decision trees to neural ensembles.
Linear, polynomial, Bayesian, and gradient-boosted regression models with uncertainty quantification.
Vector search, approximate nearest neighbors (ANN), and semantic retrieval systems for large-scale knowledge bases.
K-means, DBSCAN, hierarchical clustering, and topic modeling for unsupervised pattern discovery.
Linear programming, genetic algorithms, simulated annealing, and reinforcement learning for scheduling, routing, and resource allocation.
Collaborative filtering, content-based, and hybrid recommendation systems for personalization at scale.
High-fidelity synthetic data that trains better models, protects privacy, and accelerates AI development cycles.
Real-world data is often too sparse, biased, or sensitive to use directly in AI training. Sunray designs synthetic data programs with privacy guarantees and statistical fidelity.
GAN-based, VAE-based, and rule-based generation for tabular, image, text, and time-series data.
Statistical fidelity testing, distribution matching, and utility evaluation to ensure synthetic data performs like real data in training.
Differential privacy, k-anonymity, and re-identification risk assessment — safe for regulated industries.
Deliberate augmentation of underrepresented classes and demographic groups to build fairer, more robust AI systems.
Annotation workflows, label quality management, and active learning pipelines for supervised learning at scale.
Version control, provenance tracking, and refresh cycles that keep your training data current as your model evolves.
Full-stack, cloud-native, and AI-integrated software built to scale and built to last.
React, Next.js, Node, Python (FastAPI/Django), and .NET applications with RESTful and GraphQL APIs.
iOS, Android, and cross-platform (React Native / Flutter) apps with native performance.
Applications with embedded ML inference, LLM-powered features, and real-time data intelligence baked in.
Microservices, serverless, and container-based systems on AWS, Azure, and GCP — fully automated CI/CD.
ETL, event streaming, and API gateway work that connects your ecosystem cleanly and reliably.
Legacy system refactoring, re-platforming, and ongoing support to keep your software competitive.
Scalable, resilient, and AI-ready system design — from greenfield to enterprise-wide transformation.
System-of-systems design, domain-driven design (DDD), and cross-platform integration blueprints aligned with business strategy.
Multi-cloud, hybrid, and cloud-native designs on AWS, Azure, and GCP — with IaC (Terraform/CDK) baked in.
Feature stores, model registries, inference infrastructure, and MLOps platforms that keep AI systems reliable in production.
Kafka-based event streaming, service mesh, and API gateway design for modern distributed systems.
Zero-trust design, IAM frameworks, encryption-at-rest and in-transit, and compliance-ready architectures.
Independent assessment of existing systems: bottlenecks, risks, tech debt, and a prioritized remediation roadmap.
Experienced PMs and delivery leaders who bring clarity, accountability, and momentum to your most complex technology programs.
Sprint planning, backlog grooming, velocity tracking, and retrospectives that keep AI and software projects on track.
Multi-track program delivery, dependency management, and executive steering support for large-scale IT transformations.
Specialized PM support for ML projects: milestone management from data acquisition through model deployment and adoption.
Organizational readiness, training plans, and adoption strategies that make technology transitions stick.
RFP development, vendor selection, SLA governance, and multi-vendor coordination for complex delivery environments.
Fractional or embedded PMO support — standards, templates, reporting, and governance frameworks on demand.
Find the bottlenecks, fix the root causes, and scale with confidence. We optimize systems that need to perform.
Deep-dive analysis of application latency, database query plans, memory usage, and CPU profiles to pinpoint exactly what’s slow.
Code-level tuning, caching strategies, async refactoring, and algorithmic improvements that deliver immediate gains.
Index optimization, query rewriting, schema redesign, and read-replica strategies for SQL and NoSQL at scale.
Right-sizing, autoscaling design, and cost optimization to reduce cloud spend while improving reliability.
Realistic load simulation to find breaking points before your users do, with actionable remediation plans.
Model quantization, distillation, batching, and hardware-accelerated serving to make AI predictions faster and cheaper.
Rigorous testing for software and AI systems — because quality isn’t a phase, it’s a practice.
Selenium, Playwright, Cypress, and pytest-based test automation suites integrated into your CI/CD pipeline.
Contract testing, end-to-end integration validation, and mock/stub frameworks for complex distributed systems.
Evaluation frameworks for ML models: accuracy, bias, robustness, and behavioral testing including adversarial probes.
Device farm testing, visual regression, and accessibility compliance across platforms and browsers.
SAST, DAST, penetration testing, and dependency vulnerability scanning for application security assurance.
QA maturity assessment, test planning, and the design of testing frameworks that scale with your engineering org.
Real engagements. Measurable outcomes. Here’s what working with Sunray looks like in practice.
Gradient-boosted ML model predicting 30-day hospital readmission risk, integrated into EHR workflows for a Southeast hospital network. Synthetic data augmentation addressed rare event underrepresentation.
CNN-based visual inspection pipeline detecting shelf out-of-stocks and mislabeled products in real time across 200 retail locations, replacing daily manual audits.
Kafka-based streaming pipeline with ensemble anomaly detection, processing 400,000 transactions per minute at sub-millisecond latency for a leading fintech platform.
Fine-tuned transformer model on 50,000 legal contracts to extract key clauses, flag risk terms, and summarize obligations. Deployed as in-house tool reducing attorney review time dramatically.
Diagnosed and resolved cascading database and caching bottlenecks in a high-traffic e-commerce platform, increasing throughput tenfold and cutting p99 latency by 85%.
Placed a complete team of 12 ML engineers, data scientists, and MLOps specialists for a Fortune 500 consumer goods company launching its first enterprise AI platform. All roles filled and onboarded within 60 days.
Gradient-boosted ML model predicting 30-day hospital readmission risk for a Southeast hospital network. Synthetic data augmentation handled rare event underrepresentation in training data. Integrated directly into EHR workflow.
CNN-based visual inspection pipeline detecting shelf gaps and mislabeled products in real time across 200 retail locations. Replaced costly manual daily audits with a fully automated, always-on system.
Kafka-based streaming pipeline with ensemble anomaly detection algorithms processing 400,000 transactions per minute at sub-millisecond latency for a leading fintech platform.
Fine-tuned a transformer model on 50,000 legal contracts to extract key clauses, flag risk terms, and summarize obligations. Cut attorney contract review time from hours to minutes.
Multi-variate time-series forecasting model for a national distributor, incorporating external signals (weather, events, macroeconomic data) to improve inventory planning across 800 SKUs.
Designed and generated a 2M-image synthetic dataset for a robotics company training pick-and-place vision models, overcoming the scarcity of real labeled data in their manufacturing environment.
Re-architected a monolithic legacy EHR into a FHIR-compliant microservices platform on AWS, enabling rapid feature deployment, real-time integrations, and AI model embedding.
Diagnosed and resolved cascading database and caching bottlenecks in a high-traffic e-commerce platform, increasing request throughput tenfold during peak season without hardware changes.
Built a full-stack web application combining a custom graph-based routing algorithm with real-time traffic data to optimize last-mile delivery routes for a Southeast logistics provider.
Designed and implemented a full GitOps pipeline (GitHub Actions + Terraform + Kubernetes) for a SaaS company, reducing deployment time from days to under 15 minutes with zero-downtime releases.
Built a 1,200-test Playwright automation suite covering critical banking workflows, integrated into CI/CD with nightly regression runs that replaced 3 weeks of manual testing cycles.
Delivered a React Native iOS/Android app with AI-powered product recommendations, AR try-on, and real-time inventory for a mid-market fashion retailer — from spec to launch in 14 weeks.
Placed a complete team of 12 ML engineers, data scientists, and MLOps specialists for a Fortune 500 consumer goods company launching its first enterprise AI platform. All roles filled and onboarded within 60 days.
Placed 8 specialized Epic/Cerner implementation consultants for a hospital system undergoing a time-critical EHR rollout. All placements active within 10 business days of the engagement kickoff.
Executive search and placement of a VP of Data Science and two Principal ML Engineers for a regional bank building its first in-house AI team. All three retained past the 12-month mark.
Established an ongoing pipeline of security-cleared IT professionals (Secret and Top Secret) for a federal government contractor in the Atlanta area, fulfilling 20+ roles over an 18-month engagement.
Placed a team of 6 embedded systems engineers (C/C++, Python, VxWorks) for a manufacturing client deploying IoT sensor networks across their production floor. Roles filled in under 3 weeks.
Placed a CTO and two senior engineering leads for a high-growth Atlanta-based AI startup. Our network and technical screening ensured cultural alignment alongside technical excellence.
What clients and consultants say about working with Sunray.
“I’ve worked for midsize and large companies for well over 20 years, and through all these years, the one vendor company that I’ve found very pleasing to work with has been Sunray. Time and time again, Sunray provides our project teams with quality software professionals at very short notices.”
“We like the quality of consultants that come from team Sunray. Your HR team consistently does a great job in understanding our requirements and providing candidates that are a great fit for the work and to complement our team!”
“We’ve had Sunray as one of our primary vendors for a few years now. Sunray provides a professional experience that is very friendly, and their team is attentive to the unique needs of our projects and acts within our time requirements — which can sometimes be pretty tight.”
“The Sunray data team built our analytics lakehouse from the ground up. Their depth in Databricks and dbt was impressive, and they delivered a system that has become the backbone of our reporting and AI initiatives.”
“The synthetic dataset program Sunray designed gave us the training data volume we needed without compromising patient privacy. We simply couldn’t have moved as fast without them.”
“I’d place Sunray’s commitment to customer satisfaction at the top compared to all the other vendors that we deal with. Either it is a very short-term project or a long-term need, Sunray folks take care of our needs. I highly recommend Sunray.”
Tell us about your project or staffing need and we’ll respond within one business day.
3621 Vinings Slope SE, Suite 4310
Atlanta, GA 30339
#54, 3rd Floor, Vani Vilas Road
Basavanagudi, Bangalore – 560004
+1 (678) 584-1312
Mon–Fri, 8AM–8PM EST
contact@sunraycorp.com
For staffing resumes: hr@sunraycorp.com
We respond to all inquiries within one business day. For urgent staffing needs, call us directly for same-day service.
Sunray is one of the most trusted IT staffing partners for Fortune 500 companies and high-growth organizations across the U.S. Our staffing practice specializes in placing elite AI, ML, data, and IT professionals — fast.
Sunray designs, builds, and deploys production-grade machine learning systems across industries — from healthcare and finance to retail and logistics.
Our deep learning specialists design and train custom neural network architectures for vision, language, and sequential data tasks that demand the highest accuracy.
Not every problem has a library function. Our algorithm specialists design bespoke computational methods with rigor from both academic depth and production engineering.
Sunray builds the data infrastructure that makes AI and business intelligence possible — from raw ingestion to executive dashboards and predictive analytics systems.
Real-world data is often too scarce, biased, or sensitive to use in AI training. Sunray designs synthetic data programs with privacy guarantees and statistical fidelity.
Sunray partners with customers to find the best candidates for short- and long-term temporary assignments. We recognize that today's job market requires flexibility for time-critical projects, additional talent to meet deadlines, and specialized skills that may not exist in your current staff.
Our service goes far beyond keyword matching — you receive only the resumes of candidates who are a true match to your requirement.
This option provides a unique interim-staffing solution, where both the employer and employee get a chance to test the working dynamics before committing to a fixed professional relationship.
For organizations building permanent technology teams or filling leadership roles, Sunray conducts targeted searches that go beyond job boards and keyword filters. We leverage our deep network and rigorous screening process to find candidates who are not just qualified — but the right fit.