Senior Data Scientist / ML Engineer

Starcom consulting limited • Diamond Bar, CA

1d • Onsite

About The Position

We are seeking a highly skilled Senior Data Scientist / ML Engineer to design, build, and deploy scalable AI and machine learning solutions within the Azure cloud environment. The ideal candidate will leverage deep technical expertise in the Azure Databricks ecosystem to deliver both traditional ML pipelines and cutting-edge AI applications—including Computer Vision and Generative AI—driving business impact through data-driven innovation.

Requirements

• Hands-on experience with Databricks Workspace, PySpark, MLflow, Delta Lake, and integration with Azure cloud data services (e.g., Azure Data Lake, Synapse Analytics).
• Strong proficiency in Python (including libraries like Pandas, Scikit-learn, NumPy), SQL, statistical modeling, and data visualization (e.g., Matplotlib, Seaborn, Power BI).
• Proven experience in building, training, evaluating, and deploying ML models—along with end-to-end MLOps workflows using MLflow, CI/CD, and containerization (e.g., Docker, Kubernetes).
• Experience implementing vision-based AI solutions, such as object detection, image classification, or segmentation using frameworks like YOLO, OpenCV, or PyTorch/TensorFlow.

Nice To Haves

• Familiarity with LLMs, RAG architectures, prompt engineering, and Azure OpenAI Service is a strong plus.

Responsibilities

• Design, develop, and deploy scalable end-to-end ML pipelines (data ingestion → preprocessing → modeling → deployment → monitoring) using Azure Databricks and MLflow.
• Conduct advanced data engineering tasks—including data cleaning, transformation, and feature engineering—using PySpark and SQL on large-scale datasets.
• Collaborate with cross-functional teams (Product, Engineering, Business Stakeholders) to translate business requirements into robust AI/ML solutions.
• Stay current with emerging trends and tools in AI/ML, especially in Generative AI and MLOps, and recommend best practices for adoption.
• Ensure model performance, reliability, and compliance with organizational governance and security standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed