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Azure Databricks & GenAI Engineer
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Azure Databricks & GenAI Engineer

WebSenor InfoTech -
Remote

Quick apply

Job details

Full-time

Qualifications

CI/CD
Data modelling
Azure
Law
Spark
Git
Master's degree
Microservices
SQL
Analysis skills
Continuous integration
REST
Unity
GitHub
APIs
ETL
AI
Data warehouse
Python
High availability

Full job description

Job Overview

We are looking for a skilled Azure Databricks & GenAI Engineer to design, develop, and maintain scalable data and AI solutions on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure Databricks, PySpark, Python, SQL, data engineering, Generative AI, and LLM-based applications.

The candidate will work on building modern data pipelines, lakehouse architectures, AI/ML workflows, and GenAI solutions that leverage enterprise data.

Key Responsibilities

Design and develop scalable data engineering solutions using Azure Databricks.
Build and optimize data pipelines using PySpark, Python, SQL, and Delta Lake.
Develop and maintain Databricks notebooks, workflows, jobs, and Delta tables.
Implement Medallion Architecture (Bronze, Silver, Gold) for data processing and transformation.
Develop Generative AI solutions using Large Language Models (LLMs), embeddings, and vector search.
Build RAG (Retrieval-Augmented Generation) applications using enterprise data.
Integrate Azure AI services and Azure OpenAI with Databricks-based solutions.
Develop data ingestion and transformation pipelines using Azure Data Factory (ADF) and other Azure services.
Implement data preprocessing, feature engineering, and model-ready datasets for AI/ML applications.
Work with MLflow for experiment tracking, model management, and deployment.
Optimize Databricks workloads, Spark jobs, SQL queries, and data pipelines for performance and cost.
Implement data quality, governance, security, and access controls across data platforms.
Collaborate with Data Scientists, AI Engineers, Software Developers, and business stakeholders.
Develop CI/CD pipelines for data and AI workloads using Azure DevOps or GitHub Actions.
Troubleshoot production data and GenAI solutions and ensure high availability and reliability.

Required Skills

Strong hands-on experience with Azure Databricks.
Strong knowledge of Python, PySpark, and SQL.
Experience with Delta Lake and Lakehouse Architecture.
Practical experience with Generative AI and LLM applications.
Knowledge of RAG, embeddings, vector databases/vector search, and prompt engineering.
Experience with Azure OpenAI or equivalent LLM platforms.
Experience with Azure Data Factory (ADF).
Knowledge of MLflow and MLOps concepts.
Understanding of data modeling, ETL/ELT, and data warehousing concepts.
Experience with Git and CI/CD practices.
Strong analytical and problem-solving skills.

Preferred Skills

Experience with Azure AI Search and vector search.
Experience developing AI applications using frameworks such as LangChain or LlamaIndex.
Knowledge of Databricks Mosaic AI and Model Serving.
Experience with Unity Catalog and Databricks governance.
Knowledge of REST APIs and microservices.
Experience with Azure services such as ADLS Gen2, Azure Functions, Key Vault, and Event Hubs.
Understanding of responsible AI, data privacy, and enterprise AI security.

Work Location: Remote

Quick apply

Refine Your Search

ml / llm engineer jobs in remote

Azure Databricks & GenAI Engineer

Senior AI Engineer (m/f/d)

AI Architect

AI Specialist

Staff Software Engineer, QE

Senior Analyst - Value Economics

Product Manager — AI Products

Software Development Engineer in Test III - AI

Site Reliability Engineer 3

Engineering Manager – Fullstack & AI Engineering

Manager / Area Manager Artificial Intelligence

Senior Data Engineer Consultant

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Software Developer IV (Golang & Kubernetes)

Senior DevOps Engineer

AI Architect

Senior AI Engineer (Full-Stack)

GCP & Platform Security Engineer

Senior AI Knowledge & Governance Architect

RAG + Agentic AI Lead

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