100% Remote // Agentic AI-ML Engineer (Azure ML, LLM, RAG, Apache)

100% Remote

Agentic AI-ML Engineer (Azure ML, LLM, RAG, Apache)

Full time

Job Description:

Primary Responsibilities:

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:

5+ 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