Overview
Remote
$140,000 - $140,000
Full Time
Skills
Artificial Intelligence
Microsoft Azure
Python
SQL
PySpark
LLMs
Azure AI
RAG
Agentic AI
Job Details
- AI/ML Development and Deployment:
- Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
- Fine-tune and deploy LLMs for enterprise-grade applications
- Design and build RAG pipelines leveraging Azure services and vector databases
- Develop and orchestrate multi-agent LLM systems for complex workflows
- Ensure robust model deployment, monitoring, and performance optimization in production environments
- Azure Platform Engineering:
- Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
- Integrate AI models with Azure-based data pipelines and APIs
- Use Azure DevOps for CI/CD of ML workflows and model versioning
- Apply MLOps best practices for model governance, monitoring, and retraining
- Ensure compliance with data governance, privacy, and security standards in cloud environments
- Data Engineering and Processing:
- Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
- Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
- Collaboration and Innovation:
- Collaborate with data scientists, product managers, and engineers to deliver AI-driven features
- Stay current with advancements in generative AI, LLMs, and Azure AI services
- Contribute to the continuous improvement of AI/ML pipelines and best practices
Required Qualifications:
- Experience:
- 8+ years of hands-on experience in AI/ML engineering with a focus on Azure
- Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning
- Experience working with LLMs, RAG systems, and AI agents
- Technical Skills:
- Experience with Databricks, Apache Spark, and Azure Data services
- Familiarity with MCP, Langchain, vector databases and embedding models
- Knowledge of Azure DevOps and CI/CD for ML workflows
- Proficiency in Python, SQL, LLMs and PySpark
- Soft Skills:
- Proven solid analytical and problem-solving skills
- Proven effective communication and collaboration with cross-functional teams
- Demonstrated ability to translate business requirements into technical solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.