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Ai Machine Learning Engineer Jobs (NOW HIRING)

Merican

AI / Machine Learning Engineer

PA · On-site

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Oxy

AI Machine Learning Engineer

Houston, TX

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps ... Deploy AI/ML models into production environments, integrating with existing enterprise systems ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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All JobsAi Machine Learning Engineer Jobs

Ai Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do ai machine learning engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for ai machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Machine Learning Engineer, and why are they important?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI Machine Learning Engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

How much do AI ML engineers make?

AI Machine Learning Engineers typically earn between $80,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, often exceeding $200,000.

What engineers make $500,000?

Senior AI machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and industry expertise. Compensation at this level reflects significant experience, impact, and often involves stock options or bonuses.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in machine learning algorithms, programming languages like Python, and frameworks such as TensorFlow or PyTorch to develop intelligent systems, leading to strong job growth and competitive salaries in this field.

What is an AI Machine Learning Engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

More about Ai Machine Learning Engineer jobs
What cities are hiring for Ai Machine Learning Engineer jobs? Cities with the most Ai Machine Learning Engineer job openings:
What states have the most Ai Machine Learning Engineer jobs? States with the most job openings for Ai Machine Learning Engineer jobs include:
What job categories do people searching Ai Machine Learning Engineer jobs look for? The top searched job categories for Ai Machine Learning Engineer jobs are:
Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
AI / Machine Learning Engineer

AI / Machine Learning Engineer

Merican Inc

Pittsburgh, PA • On-site

Other

Posted 6 days ago

Job description

Job Title: AI / Machine Learning Engineer (Contract)

Location: Philadelphia, PA or Charlotte, NC
Duration: 6 Months Contract

Job Summary

We are seeking an experienced AI / Machine Learning Engineer to design, develop, and deploy scalable AI and Large Language Model (LLM) solutions within enterprise AWS environments. The ideal candidate will have hands-on expertise with LangChain and LangGraph, strong Python development skills, and experience building production-grade AI applications that are reliable, secure, and high-performing.

Key Responsibilities
  • Design, develop, and deploy AI/LLM-powered applications in AWS production environments.
  • Build, orchestrate, and manage intelligent workflows using LangChain and LangGraph.
  • Integrate AI solutions with enterprise applications, APIs, and data platforms.
  • Optimize model performance, latency, scalability, and reliability for production use cases.
  • Develop and implement prompt engineering strategies and model evaluation frameworks.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Ensure adherence to software engineering best practices, including CI/CD, version control, testing, and deployment automation.
  • Monitor, troubleshoot, and enhance AI applications in production environments.
Required Qualifications
  • Proven experience deploying and supporting applications in AWS production environments (e.g., Lambda, ECS, EKS, S3).
  • Hands-on experience with LangChain and LangGraph for AI orchestration and workflow development.
  • Strong programming experience in Python.
  • Experience working with Large Language Models (LLMs), prompt engineering, and model evaluation techniques.
  • Solid understanding of software development best practices, including CI/CD pipelines, Git-based version control, automated testing, and deployment processes.
  • Experience integrating AI solutions with enterprise systems and APIs.
Preferred Qualifications
  • Experience building and deploying scalable generative AI applications.
  • Familiarity with vector databases, RAG (Retrieval-Augmented Generation), and AI observability tools.
  • Understanding of cloud security, governance, and compliance considerations for AI workloads.
  • Experience working in Agile development environments.
Work Arrangement
  • Candidates must be available to work onsite during the first week (Monday Friday).
  • Candidates located in Philadelphia, PA or Charlotte, NC will follow a hybrid schedule, working onsite with the team three days per week after onboarding.
Employment Type
  • Contract (6 Months)

If you are passionate about building production-ready AI solutions and have strong expertise in AWS, LangChain, and LangGraph, we encourage you to apply.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

Social media

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