Machine Learning Engineer

Allied Resources Technical Consultants; United States; On-site; USD 96,000 - 160,000; Full time

Benefits offered by this job

Annual performance bonus

Job summary

Allied Resources is seeking a Machine Learning Engineer to design, deploy, and scale AI-powered products and intelligent automation solutions in a fast-paced environment. You will build AI agent workflows, leverage LLMs, and collaborate with product, engineering, and business teams to deliver measurable business outcomes.

The ideal candidate has 3+ years of production ML experience, strong Python skills, and familiarity with cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, AI, ML, Mathematics, Statistics, or related technical discipline.
• 3+ years of experience developing and deploying ML solutions in production environments.
• Proven experience building and shipping AI or ML-powered products.
• Strong Python programming skills and experience with modern ML frameworks.
• Experience with LLMs, AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), or agent orchestration technologies.
• Strong understanding of ML lifecycle management, experimentation, evaluation, and deployment.
• Experience in medium-to-large SaaS or technology-focused organizations.
• Familiarity with AWS, Azure, or GCP.

Responsibilities

• Design, implement, and optimize AI agent workflows and ML systems in production.
• Collaborate with Product, Engineering, and Business teams to launch AI-powered features.
• Build scalable solutions using LLMs and agent orchestration technologies.
• Monitor, evaluate, and improve model performance and reliability.
• Identify opportunities to automate and enhance business processes with AI.
• Translate business requirements into practical AI solutions.
• Support AI governance, monitoring, and best practices across the organization.

Skills

Python programming

Machine Learning

Collaboration

Ownership

Communication

Education

Bachelor’s/Master’s/PhD in Computer Science or related field

Tools

LangGraph

LangChain

OpenAI Agents

Agent orchestration frameworks

Job description

Please note that at this time we are only able to consider U.S. Citizens and Green Card Holders for this opportunity.

Our client is seeking a Machine Learning Engineer to help build and scale the next generation of AI-powered products and intelligent workflow automation solutions. This role will focus on designing, deploying, and optimizing machine learning systems and AI agent workflows that directly impact customer-facing products and business operations.

The ideal candidate has experience taking AI/ML products from concept to production, working within medium-to-large organizations, and leveraging modern AI technologies to drive measurable business outcomes. This is an opportunity to join a highly innovative team focused on transforming traditional software workflows through the use of AI agents, machine learning, and intelligent automation.

Key Highlights:

• 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.

Qualifications:

• 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.

Preferred Qualifications:

• 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.

Compensation:

• Base Salary: Up to $160,000
• Annual Performance Bonus: 10%

Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status, or other status protected by law.