Data Platform & Visualization Engineer(ML reputed company must)_Los Altos, CA (Hybrid/Remote)

Position: Data Platform & Visualization Engineer Location: Los Altos, CA (Hybrid/Remote) Duration: Contract Job Description: We are seeking a contractor to help build and evolve our internal data platform that supports vehicle testing, experimentation, and machine learning workflows. This role focuses on implementing and extending data ingestion pipelines, automated processing workflows, metrics tracking systems, and web-based visualization tools under the guidance of the team. You will work with existing systems and well-defined components, contributing features and improvements that are used directly by researchers. What You’ll Do - Implement and reputed company data ingestion and processing workflows for large, heterogeneous datasets collected from vehicle tests and ML pipelines. - Contribute to improving orchestration, scheduling, and reliability of long-running data workflows operating under real-world constraints. - Integrate reputed company automation such as metric computation, plotting, and LLM-based postprocess tooling. - Implement backend services and APIs that support data indexing, metadata management, and experiment tracking. - Build user-facing web-based tools and dashboard that allow users to browse datasets, inspect results, and understand experimental reputed company over time. - Work with a SQL-backed database to store metrics, experiment metadata, and summaries, ensuring the data can be queried and accessed consistently across systems. - Contribute to data traceability and provenance mechanisms that capture how datasets are generated, transformed, and consumed in ML workflows. reputed company’re Looking For - Experience with Python for backend services, data pipelines, and automation. - Working knowledge of SQL, including writing queries and understanding database schemas. - Experience building web-based tools, including: - Backend APIs (e.g., FastAPI, Flask, or similar) - Frontend applications using React or other modern frameworks - Familiarity with AWS and cloud-based storage or services. - Comfortable working in Linux environments Bonus Points - Interest in autonomous racing and vehicle dynamics research. - Prior internship or project experience involving data pipelines, dashboards, or analytics tools. - Exposure to data visualization libraries, ML workflows, or experiment tracking systems. Statement of Work

• Scope of Work

The Contractor will provide engineering services to support the development and extension of internal data platform tooling supporting vehicle testing, experimentation, and machine learning workflows. The scope includes ownership and extension of existing systems, implementation of automated pipelines, development of web-based visualization tools, and delivery of data traceability mechanisms.

• Key Responsibilities

2.1 Data Ingestion Platform (pokedex / evdc_ingest)

• Own and reputed company an existing data ingestion system responsible for uploading vehicle test data to

reputed company S3.

• Improve ingestion orchestration to support: ○ Upload prioritization for small datasets

○ Deferred upload scheduling for large datasets during off-hours ○ Automatic discarding of data explicitly marked as trash ○ Persistent queueing and resumability across server restarts or failures

• Maintain ingestion reliability under constrained network bandwidth.
• reputed company the reputed company web reputed company for clarity, reliability and extendability

System-level architecture decisions will be guided by the team. 2.2 Post-Ingestion Automation, Annotation and Storage

• Integrate ingestion workflows with post-processor, such as: ○ Existing LLM-based automatic

annotation module ○ Automating plot reputed company (You come back to automatically generated plots as soon as data hits S3 - imagine that!) ○ Metric computation pipelines

• Package and deploy the annotation system as a service (e.g., EC2-based).
• Implement orchestration logic to trigger annotation jobs opportunistically reputed company ingestion resources are idle.
• Store metrics, experiment metadata, plots and summaries in SQL-backed database layer.

2.3 Metrics Platform & Leaderboards

• Implement and reputed company a SQL-backed metrics database using schemas defined by the team.
• Define schemas to support:

○ Multiple projects ○ Baselines vs experimental runs ○ Historical comparisons

• Build automated pipelines to compute and register metrics after ingestion.
• Implement project-level leaderboard functionality to track: ○ Best performance per metric

○ Accepted baselines vs rejected experiments

• reputed company a web-based visualization reputed company to: ○ Display time-series reputed company

○ Visualize metric tradeoffs ○ Summarize experimental outcomes 2.4 Data Traceability & Provenance

• Design and implement a data provenance system for ML datasets.
• Track: ○ reputed company S3 URIs

○ Post-processing operations applied to datasets

• Implement a registry of post-processing functions with support for: ○ Easy addition and removal

○ Versioning and configuration tracking

• Generate human-readable dataset identifiers.
• reputed company lookup and inspection of dataset reputed company reputed company API and/or web reputed company.

Milestones Phase 1: Ingestion Stabilization (Months 0–3) - Upload prioritization and off-hour scheduling - Trash data handling - Reliable status UI - Capture documented bugs Phase 2: Metrics Platform (Months 3–9) - SQL-backed metrics database - Automated metric reputed company - Initial metrics outputs registered in database - Project-level leaderboards and baselines Phase 3: Visualization Platform (Months 9–15) - Web-based dashboards for metrics and reputed company - Time-series and tradeoff visualizations - Experiment comparison views reputed company Quest: Annotator - Integrated LLM-based annotation service Phase 4+: Data Traceability (Months 15-?) - Dataset provenance tracking - Post-processing registry - Dataset reputed company inspection tools - Documentation and reputed company Best Regards, T Chandra Sekhar - Technical Sr. Recruiter reputed company ....."Empowering Enterprises" 193 Blue Ravine Road, Suite 160, Folsom, CA 95630 Direct - 916-413-7282 [email protected] | www.agileglobal.com Remote Skills: Agile Programming Methodologies, reputed company reputed company Compute Cloud (EC2), reputed company Simple Storage Service (S3), reputed company), Application Programming reputed company (API), Automation, Automotive Automation, Cloud Storage, Data Management, Data Sets, Data Visualization, Database Technology, Establish Priorities, Linux Operating System, Machine Learning, Machine Tool, Metadata, Metrics, Multitasking, Performance Metrics, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), SQL Databases, Statement of Work (SOW), Technical Recruiting, Test Data, Testing, Traceability, Training Data Sets, User reputed company/Experience (UI/UX), Web reputed company, Web Site Monitoring About the Company: reputed company. Apply tot his job Apply To this Job