AI Data Scientist Casera

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

AI / Data Scientist

Location: Hybrid (Seattle / Remote)

Type: Full-time

Reports to: CTO

Overview

We are looking for a passionate AI / Data Scientist to design build and deploy machine learning and generative AI solutions that turn complex data into actionable insights. You will work closely with engineers product managers and domain experts to develop models experiments and pipelines that drive measurable impact across the business.

Key Responsibilities

Develop train and evaluate machine learning and deep learning models (classification regression NLP computer vision or generative models).
Build scalable data pipelines for feature engineering model training and real-time inference using Python and cloud platforms (AWS GCP or Azure).
Partner with engineering to deploy models into production and monitor performance over time.
Apply statistical and causal inference techniques to analyze business or operational data.
Design experiments (A/B tests quasi-experiments) to measure impact.
Stay current with advances in LLMs embeddings and multimodal AI; prototype solutions using modern frameworks (PyTorch TensorFlow Hugging Face LangChain etc.).
Communicate findings through visualizations dashboards and presentations to technical and non-technical audiences.

Required Qualifications

M.S. or Ph.D. in Computer Science Data Science Statistics Applied Mathematics or related field (or equivalent practical experience).
7 years of experience building and deploying ML or AI models in production.
Strong Python skills and experience with packages such as NumPy pandas scikit-learn PyTorch or TensorFlow.
Experience with LLM fine-tuning embeddings or retrieval-augmented generation (RAG).
Familiarity with SQL and data-processing frameworks (Spark PySpark or AWS Glue).
Solid understanding of probability statistics and experiment design.
Experience with APIs microservices and version control (Git).
Excellent written and verbal communication skills.

Preferred Qualifications

Exposure to MLOps / data engineering stacks (MLflow Airflow SageMaker Databricks or Kubeflow).
Experience working with large sensitive or regulated datasets (e.g. healthcare finance).
Contributions to open-source AI projects or published research.

AI / Data ScientistLocation: Hybrid (Seattle / Remote)Type: Full-timeReports to: CTOOverviewWe are looking for a passionate AI / Data Scientist to design build and deploy machine learning and generative AI solutions that turn complex data into actionable insights. You will work closely with engineer...