Machine Learning Engineer
United States of America
Full Time
1 hour ago
No H1B
Key skills
Machine LearningPythonLarge Language Models (LLMs)AI AgentsPrompt EngineeringRetrieval-Augmented Generation (RAG)Agent Orchestration TechnologiesMachine Learning Lifecycle ManagementMachine Learning ExperimentationMachine Learning EvaluationMachine Learning DeploymentCloud Platforms - AWSCloud Platforms - AzureCloud Platforms - GCPAIArtificial IntelligenceLarge Language ModelsOpenAIRAGLangChainAgenticAutoGenLangGraphAWSAzureGCPSaaSCommunicationCollaboration
About this role
Allied Resources Technical Consultants is seeking a Machine Learning Engineer to help build and scale AI-powered products and intelligent workflow automation solutions. The role focuses on designing, deploying, and optimizing machine learning systems that impact customer-facing products and business operations.
Responsibilities:
- Design, implement, and optimize AI agent workflows and machine learning systems used in production environments
- Partner with Product, Engineering, and Business teams to develop and launch AI-powered features and applications
- Build scalable solutions utilizing Large Language Models (LLMs), agent orchestration frameworks, and modern machine learning technologies
- Evaluate, monitor, and improve model performance, reliability, and operational efficiency
- Drive innovation by identifying opportunities to automate and enhance business processes through AI
- Collaborate with stakeholders to translate business requirements into practical AI solutions
- Support the development of AI governance, monitoring, and best practices across the organization
- Contribute to a fast-paced, product-driven environment where AI is becoming a core component of the technology strategy
Requirements:
- Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical discipline
- 3+ years of experience developing and deploying machine learning solutions in production environments
- Proven experience building and shipping AI or machine learning-powered products
- Strong Python programming skills and experience working with modern machine learning frameworks
- Experience with Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), or agent orchestration technologies
- Strong understanding of machine learning lifecycle management, experimentation, evaluation, and deployment
- Experience working within medium-to-large software, SaaS, or technology-focused organizations
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Excellent communication and collaboration skills with the ability to work across technical and non-technical teams
- Demonstrated ability to take ownership of projects and deliver business value through AI-driven solutions
- Advanced degree from a highly ranked university or recognized technical program
- Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents, or similar technologies
- Experience building AI-powered workflow automation systems
- Background in SaaS, enterprise software, or product-focused technology companies
- Experience supporting customer-facing AI applications at scale