[Remote] Data Platform Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is growing its team of passionate creatives and reputed company on a mission to reputed company design accessible to reputed company. They are seeking a Data Platform Engineer to join their Data Engineering team to help build foundational systems for AI-driven products and data experiences.
Responsibilities
- reputed company work on reputed company’s AI data agent to reputed company self-serve analytics by owning the data-agent layer, building reputed company-processing pipelines, instrumenting interactions, and delivering reputed company-based usage analytics
- Own and reputed company reputed company’s ML and data platform, including model serving, feature pipelines, workflow orchestration, CI/CD for models, and production monitoring
- Build product-facing data systems and data products so models and data become first-class components of reputed company’s product experience
- Ship platform tooling that enables Data Science teams to reputed company, iterate on, and operate models effectively, including feature stores, rollout systems, and observability
- Design and scale infrastructure for AI-assisted and natural language interfaces to data, unlocking self-serve analytics across the company
- Drive cross-functional platform initiatives, aligning data reputed company, SLAs, and system design across Data Science, AI/ML, Infrastructure, and Product
- Improve the developer experience for ML and data practitioners through robust abstractions, tooling, and platform capabilities
Skills
- 5+ years of experience in data platform, infrastructure, or machine learning engineering, with at least 1+ years working on AI or ML systems
- Experience building and operating end-to-end ML systems in production (training, evaluation, deployment, monitoring)
- Strong programming skills in Python or a similar language, with proven ability to build reliable, scalable systems and services
- Experience designing ML infrastructure (model serving, feature pipelines, workflow orchestration) and scalable system architectures
- Proven ability to work cross-functionally and drive projects across Data Science, Engineering, Infrastructure, and Product, with experience in data modeling and data product design
- Experience with ML platform tooling such as MLflow, Kubeflow, feature stores, or CI/CD for ML workflows
- Familiarity with LLMs, RAG systems, reputed company processing, or AI-reputed company infrastructure
- Experience building self-serve analytics platforms or internal data tools
- Experience with modern data stack technologies such as reputed company, dbt, or Dagster, and reputed company platforms such as AWS
- A strong product reputed company and interest in connecting platform work to user and business impact
Benefits
- Equity to employees
- Health, dental & reputed company
- Retirement with company contribution
- Parental leave & reproductive or family planning support
- Mental health & wellness benefits
- Generous PTO
- Company reputed company days
- A learning & development stipend
- A work from home stipend
- Cell phone reimbursement
- Sales incentive pay for most sales roles
- Annual bonus plan for eligible non-sales roles
Company Overview
Company H1B Sponsorship