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Senior Data Scientist / ML Engineer

Jupiter IT Solutions LLCDiamond Bar, CA🇺🇸United StatesPosted Sep 20, 2026

Why This Role Stands Out

This role offers a fantastic opportunity to build and deploy cutting-edge AI models within the Azure Databricks ecosystem, significantly advancing your skills in areas like Computer Vision and Generative AI. You'll thrive here if you have a strong foundation in Python, SQL, and MLops, and are eager to collaborate on impactful enterprise solutions. Apply now to join a dynamic team focused on innovation.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Diamond Bar, CA, United States
Posted
22 hours ago
SQLMLOpsMLflowMachine LearningOpenCVAzureComputer VisionDatabricksGenerative AIPython

Job Description

Job Description: Senior Data Scientist / ML Engineer
  • Location: Diamond Bar, CA (Onsite)
  • Experience Range: 4 - 6 Years
Position Overview:
We are looking for a Senior Data Science and Machine Learning resource who has strong hands-on experience in building, scaling, and deploying AI models. The ideal candidate will work closely within the Azure Databricks ecosystem and implement both traditional Machine Learning pipelines and modern AI solutions (including Computer Vision and Generative AI).
Core Technical Skills Needed:
  • Azure Databricks Stack: Hands-on experience with Databricks Workspace, PySpark, MLflow, Delta Lake, and Azure cloud data services.
  • Core Languages: Strong proficiency in Python, SQL, statistical analysis, and data visualization.
  • AI/ML Models: Experience developing and deploying machine learning models for real-world enterprise use cases.
  • Computer Vision: Experience with Vision-based AI algorithms, object detection, or image processing (e.g., YOLO, OpenCV).
  • Generative AI (Plus Point): Exposure to LLMs, RAG frameworks, Azure OpenAI, or prompt engineering is highly preferred.
Key Responsibilities:
  • Build, optimize, and deploy end-to-end Machine Learning lifecycles (MLOps) using Databricks and MLflow.
  • Perform advanced data engineering and data analysis using PySpark and SQL.
  • Collaborate with business and cross-functional technical teams to convert requirements into AI solutions.

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