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Owns data quality for Apple’s creativity apps (Final Cut Pro, Logic Pro, etc.), building pipelines and dashboards to monitor data health and surface issues early in development.
Build and maintain automated test suites for Vertice’s SaaS procurement platform using Playwright, Behave, and Python, ensuring high-quality releases across React/TypeScript frontends and serverless AWS backends.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Build and tune ML models (LLMs, CV) to turn complex data into actionable insights for special operations intelligence, using Python, TensorFlow, and PyTorch.
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Build and deploy production-grade AI models using PyTorch and LLMs to power analytics from NielsenIQ’s global retail data, collaborating with engineers and business teams.
Build and deploy AI models in Python/Spark to improve student recruitment and marketing at a large university, using cloud platforms and modern data-science tooling.
Build and deploy NLP, LLM, and RAG pipelines, agent systems, and ML services using Python, Hugging Face, LangChain, and FastAPI.
SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Senior AI/ML engineer builds and automates enterprise GenAI and agentic platforms using Python, Kubernetes, CI/CD, and cloud-native tooling to accelerate AI solution delivery.
Build AI-driven test and validation systems for defense hardware and sensors, using Python, LLMs, and anomaly detection to automate root cause analysis and monitor physical systems.
Design, build, and deploy AI and analytics solutions for federal government clients, ensuring compliance with governance frameworks and integrating APIs like OpenAI and AWS Bedrock.
Build and scale big-data infrastructure using Spark, Kafka, Snowflake and cloud tools; design pipelines, warehouses and analytics platforms for AI-driven applications.
Develops and maintains bioinformatics pipelines and multi-omics analysis workflows to support cancer research at the NIH, using Python, R, and cloud platforms.
Analyzes user behavior, product funnels, and A/B tests to drive growth, builds Tableau dashboards, and monitors key metrics—including weekends.
Builds and tests reusable software components for a client project using Python, SQL, and JavaScript, with data analysis and visualization tools.
Build and maintain scalable data pipelines and infrastructure using Databricks, AWS, and Python/SQL to power analytics and reporting for Singapore’s global network initiatives.
Lead data-science projects that shape growth, product, AI/automation, and partnerships for a fintech startup managing car/home insurance and asset ownership.
Build and drive data science initiatives for growth, product, AI/automation, and partnerships at a fast-growing fintech startup managing car and home assets.
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