Machine Learning Engineer

We’re seeking a ML Engineer to architect, build, and operationalize nextgeneration agentic AI systems and enterprise-scale ML pipelines on Azure. This role requires deep expertise in multiagent orchestration, distributed systems, LLM engineering, and secure cloud-native deployments. You will define technical strategy, own architecture end-to-end, and deliver production-ready AI systems leveraging Azure Foundry, Azure OpenAI, LangChain, Airflow, and modern MLOps practices. Pay for this role is $60-$70 an hour based on experience.

Key Responsibilities:
• Architect and implement complex multi-agent AI systems, leveraging tool-calling, autonomous agent patterns, and orchestration frameworks
• Design and deliver high-throughput ETL/ELT and feature pipelines using Apache Airflow and Azure data services
• Build advanced LLM workflows using LangChain, Azure Foundry Prompt Flow, and custom agent frameworks
• Develop Azure-native solutions using Azure Machine Learning, Azure OpenAI models, Azure Functions, AKS, and Azure AI Services
• Integrate MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication patterns to enable interoperable, scalable agent systems
• Implement RAG, vector search, semantic memory, and enterprise data integrations at scale
• Define MLOps standards: CI/CD, model governance, lineage, observability, evaluation harnesses, and automated testing for LLM/agent systems
• Own architectural reviews, security modeling, performance optimization, and production reliability

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Basic Qualifications:
• 5+ years in applied ML engineering, AI system development, or distributed systems engineering
• Strong expertise with Azure, including Azure ML, Azure AI Services, Azure OpenAI, and AKS
• Proven experience building and deploying agentic AI or multi-agent architectures
• Hands-on experience with MCP and/or A2A agent communication frameworks
• Expertise with Airflow, Azure Data Factory, or distributed data engines
• Strong Python engineering experience with ML frameworks (PyTorch, TensorFlow)
• Deep experience with LangChain or comparable LLM orchestration frameworks
• Familiarity with vector databases, embeddings, semantic search, and RAG pipelines
• Strong understanding of enterprise cloud security, identity, networking, and performance optimization

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.