Data Scientist

AI/ML Data Scientist (Remote)

We are seeking an AI/ML Data Scientist for our client for a remote position.
US Citizens or Green Card Holders ONLY!!
No C2C
No Third Party Agencies
.

• Partner with business and engineering teams to translate problems into measurable AI/ML solutions and success metrics.
• Design, train, validate, and deploy models for classification, regression, recommendation, and time‑series forecasting; pick algorithms, features, and evaluation strategies that match business goals.
• Develop and evaluate GenAI agent applications using frameworks like Langchain and Google ADK, leveraging techniques such as RAG, prompt engineering, and vector DB integration.
• Build and operate reliable data pipelines and model inference endpoints across GCP and AWS (Big Query, Vertex AI, Cloud Run, S3, Lambda, Sage Maker, etc.).
• Implement CI/CD, automated testing, and monitoring for ML/data projects (Git Hub Actions, Cloud Build, Code Build/Code Pipeline).
• Create lightweight dashboards and internal apps (Streamlit, Plotly Dash) to deliver models and insights to stakeholders.
• Write clear model documentation: problem formulation, modeling approach, validation, data needs, and deployment steps.
• Advocate for coding best practices, reproducibility, and shared documentation across a global data science organization.

• Masters + 1+ years, or a PhD in Data Science, Computer Science, Applied Math/Statistics, Econometrics, or related quantitative field.
• Strong Python and SQL skills; experience with scikit-learn, XGBoost/LightGBM, and a deep learning framework (PyTorch or Tensor Flow).
• Hands‑on experience building GenAI/LLM applications and agentic workflows.
• Practical experience building reliable data pipelines and ensuring data quality/lineage on GCP (Big Query).
• CI/CD experience for ML/data projects (e.g., Git Hub Actions, Cloud Build, AWS Code Build/Code Pipeline, etc).
• Practical experience building internal dashboards/apps with Streamlit and/or Plotly Dash.
• Cloud experience with GCP (Big Query, Vertex AI, Cloud Run, Gemini Enterprise) and AWS (S3, Lambda, ECS, Sage Maker).
• Solid comprehension of the mechanisms behind widely used AI/ML algorithms - including their intuition, assumptions, statistical theory, computational complexity, strengths/weaknesses, and when to use each.

• Seniority level:
  Associate
• Employment type:
  
  Full-time
• Job function: IT Services and IT Consulting