Data Scientist / ML Engineer

JUPITER IT SOLUTIONS LLC

Diamond Bar, CA, United States

7 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Data Analysis Computer Vision Microsoft Azure Data as a Services Information Engineering Data Visualization Python (Programming Language) Machine Learning Object Detection OpenCV SQL Databases

+7 more

Large Language Models Prompt Engineering Generative AI Data Lakes Pyspark Machine Learning Operations Databricks

Job description

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)., * 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.

Requirements

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.