Deep Learning Scientist, AI Safety
NVIDIA
KerasPythonPyTorch
Executive Director, Data & AI
Valtech
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $135,000 - $213,000 per year
Job Level
Lead
Tech Stack
AzureBigQueryCloudETLGoogle Cloud Platform
About the role
- Serve as the executive-facing Data & AI lead for priority accounts: frame business problems, shape hypotheses, define KPIs, and land value cases for AI/ML and agentic workflows.
- Translate between C-suite objectives and technical plans (governance, security, model risk, data contracts, SLAs).
- Co-own roadmaps that unify data foundations (ingest/model/serve), advanced analytics (forecasting/attribution/optimization), and GenAI (RAG/agents/tools) into a measurable value program.
- Design pragmatic architectures for agentic systems (tool-use, retrieval, planning/evaluation loops) that integrate with modern data stacks and application surfaces.
- Establish safe-by-default patterns: policy, PII handling, secret management, human-in-the-loop, evals/guardrails, cost/perf telemetry.
- Guide build vs. buy vs. assemble decisions across cloud services and partner ecosystems (Azure/Databricks; GCP/Vertex/BigQuery).
Requirements
- 10+ years in data/analytics/ML with 4+ years leading client-facing solution delivery; repeatedly trusted in executive rooms to land complex Data & AI programs.
- Demonstrated depth across:
- GenAI/Agentic: tool-calling, retrieval patterns, prompt orchestration, evals/guardrails, cost/perf ops.
- ML/Advanced Analytics: experimental design, feature engineering, model selection, MLOps, monitoring.
- Data Foundations: lakehouse patterns, ELT/ETL, streaming, orchestration, governance/lineage.
- Hands-on familiarity with Azure + Databricks (Azure ML, Synapse/Fabric, Data Factory, Databricks Workflows/Model Serving) and/or GCP + Vertex/BigQuery (BigQuery, Dataflow, Vertex AI pipelines/endpoints).
- Excellent communication: can convert complexity into crisp decisions; strong written narratives and visual solution storytelling.
- Eligibility to work in Canada or the US; able to travel ~25–35% for key workshops, steering meetings, and go-lives.
Benefits
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsmachine learningexperimental designfeature engineeringmodel selectionMLOpsmonitoringlakehouse patternsELTETL
Soft skills
communicationsolution storytellingdecision making
