Red Oak Technologies

About the Company

Red Oak Technologies has been servicing customers for nearly 30 years by providing IT Managed Services and Talent Solutions which are customized for each client.

We Solve Tech Problems

Talent Solutions: We leverage our extensive network and industry knowledge to impact how companies engage external talent partners and workforce management through Managed Resource Programs, Talent Engagements, and Direct Hire programs.

Managed Services: We provide complete management and oversight of your outcome and deliverable based solutions including Project & Consulting Solutions, Offshore & Nearshore Talent Engagements and Workforce Solutions.

Join us at Red Oak Technologies to build the right team and solve your technology challenges.

Listed Jobs

Company Name

Red Oak Technologies

Job Title

Frontend Developer UI JS ML Architecture Contract at Sunnyvale California

Job Description

**Job Title:** Senior Frontend Developer (UI/JS/ML Architecture) **Role Summary:** Design and develop enterprise-grade UI tools and decision automation systems for retail, recommendation, fraud detection, and generative AI solutions. Requires expertise in JavaScript frameworks, architecture, and ML integration. **Expectations:** Collaborate with stakeholders to define tool design, implement scalable UI architectures, and standardize component libraries. **Key Responsibilities:** - Design and build UI tools for enterprise decision automation, annotation, and performance measurement systems. - Develop standardized JS/CSS components for enterprise applications. - Architect scalable frontend systems integrating machine learning models. - Support modeling workflows and decision logic implementation. - Design cohesive enterprise-grade user interfaces and experiences. **Required Skills:** - Proficiency in JavaScript (raw), HTML, CSS, HTML semantics, and CSS cascading/specificity. - Expertise in ReactJS/Redux or similar MVC frameworks. - Experience with NodeJS, Express, Next.js. - Familiarity with JSP/Handlebars templates, Sass/Scss preprocessors. - Unit testing experience using Karma, Mocha, Chai, Sinon, Enzyme. - Source control proficiency (Git/SVN). - Understanding of enterprise architecture and component standardization. **Required Education & Certifications:** Not specified.

Sunnyvale, United states

On site

11-09-2025

Company Name

Red Oak Technologies

Job Title

Sr ML Platform Manager Contract at Seattle, Washington State

Job Description

Seattle, United states

On site

02-10-2025

Company Name

Red Oak Technologies

Job Title

AI/ML Solutions Engineer (Benchmarking) Austin, TX On Site from Day 1

Job Description

Job title: AI/ML Solutions Engineer – Benchmarking Role Summary: Evaluate, benchmark, and recommend AI/ML strategies (GenAI, LLM fine‑tune, Agentic AI, Multi‑Agent) to guide project direction. Lead technical decision‑making, justify technology choices, and collaborate with cross‑functional teams to deliver high‑impact solutions. Expectations: - Deliver evidence‑based benchmarking reports for AI strategies. - Make timely, data‑driven recommendations on model selection and tech stack. - Communicate rationale for chosen approaches and trade‑offs to stakeholders. - Maintain up‑to‑date expertise on Generative AI, LLM tuning, and machine‑learning best practices. Key Responsibilities: - Conduct experiments and performance comparisons of AI models and pipelines. - Prototype rapid proof‑of‑concepts using AWS, SageMaker, or equivalent services. - Define and document benchmarking metrics, data requirements, and validation plans. - Integrate AI solutions into production workflows, ensuring scalability and reliability. - Mentor junior team members on AI/ML design and best practices. - Participate in Agile ceremonies (Scrum), providing technical estimates and status updates. Required Skills: - 5–10 years data engineering & machine‑learning experience. - 2–5 years deep‑learning and 5–10 years general machine‑learning expertise. - 1+ year hands‑on experience with GenAI, LLM fine‑tuning, Agentic AI, and Multi‑Agent systems. - Proficiency in Python (5–10 years). - 1+ year AWS experience (SageMaker, EC2, S3, etc.) and AWS certification preferred. - Agile Scrum experience (1+ year). - Strong analytical, problem‑solving, and communication skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or related field. - AWS Certifications (e.g., Solutions Architect, Developer, or ML Specialty) preferred.

Austin, United states

On site

10-10-2025

Company Name

Red Oak Technologies

Job Title

Data Engineer

Job Description

**Job Title:** Data Engineer (Data Analytics) **Role Summary:** Design, develop, and maintain scalable data pipelines and analytics infrastructure. Ensure high‑quality data delivery for business intelligence and reporting while collaborating with cross‑functional teams to translate requirements into robust data solutions. **Expectations:** - Deliver reliable ETL/ELT pipelines on schedule. - Communicate technical concepts clearly to both technical and non‑technical stakeholders. - Produce thorough documentation and uphold reproducibility standards. - Proactively identify and resolve data quality or workflow issues. - Contribute to continuous improvement of data engineering practices. **Key Responsibilities:** - Build and operate data pipelines using orchestration tools (e.g., Airflow, dbt, Prefect). - Implement and manage data lake/warehouse solutions on cloud platforms (AWS, Snowflake, S3, Athena, Delta Lake). - Develop Python‑based data processing (pandas, pyarrow, PySpark) and ensure code quality. - Design and maintain data models (star/snowflake schemas, dimensional modeling). - Monitor data quality, perform validation, deduplication, and anomaly detection. - Apply version control and CI/CD workflows (Git) for data assets. - Participate in code reviews, peer discussions, and knowledge‑sharing sessions. **Required Skills:** - 5+ years data engineering experience. - Proficiency with ETL/ELT pipeline construction and orchestration (Airflow, dbt, Prefect). - Strong Python programming for data manipulation. - Hands‑on experience with AWS services and Snowflake. - Knowledge of data lake/warehouse architectures (S3, Athena, Delta Lake). - Expertise in data modeling and schema design. - Familiarity with data quality frameworks and monitoring tools. - Competence in Git and CI/CD pipelines for data workflows. - Excellent written and verbal communication; documentation skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Data Analytics, SnowPro Core) are a plus but not mandatory.

Paris, France

Hybrid

Mid level

18-10-2025