Diverse Lynx
Position: Agentic AI- AI/ML Engineer
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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
#J-18808-Ljbffr