ZipRecruiter

Log In

1

Ai Ml Jobs (NOW HIRING)

ReturnPro

AI/ML Engineer

Aventura, FL · On-site

We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

They are seeking an experienced AI/ML Engineer to develop and implement AI/ML capabilities for mission-critical problems, focusing on model training and deployment. The role involves collaborating ...

Clera

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As an AI/ML Engineer , you will shape the future of simulation and design automation by building AI that thinks like an engineer. You'll design, train, and deploy models that accelerate simulation ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

Our AI/ML Engineer is the core mission specialist who develops, implements, and deploys innovative AI/ML and LLM-enabled capabilities to solve mission-critical problems. This role combines deep model ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA

$139K - $180K/yr

The AI/ML Strategist will implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier-4 governance support. Ensure responsible AI practices ...

DecisionPoint | Cortek

AI/ML Architect

$65.25 - $84/hr

The AI/ML Architect collaborates closely with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership to translate mission needs into AI-driven prototypes and ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA · On-site

$140K - $180K/yr

They are seeking an AI/ML Strategist to implement governance frameworks for AI/ML models, ensuring responsible practices and compliance throughout the organization. Responsibilities : • implement ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Job Title: AI/ML Architect with Databricks, Azure Location: Los Angeles CA or New York NY (Hybrid) Hire type: Contract Need 15+ years of experience resumes. Role Overview We are seeking an ...

Noise Consulting Group

AI/ML Architect

Kansas City, MO · On-site

This position requires deep expertise in Oracle Cloud Infrastructure, cloud-native architecture, AI/ML platforms, automation, security, and enterprise integration patterns. Key Responsibilities ...

ReturnPro

AI/ML Engineer

Aventura, FL · On-site

We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are ...

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

Our AI/ML team develops models and tools that enhance our design process, enabling us to "Go Fast, Think Big". The team is committed to developing solutions that are grounded in a deep understanding ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

Our AI/ML team develops models and tools that enhance our design process, enabling us to "Go Fast, Think Big". The team is committed to developing solutions that are grounded in a deep understanding ...

Accenture Federal Services

AI/ML Strategist

Arlington, VA

$139K - $180K/yr

The AI/ML Strategist will implement and manage governance frameworks for AI/ML models, including model ownership, approvals, API access, and Tier4 governance support. The strategist will ensure ...

Apex Informatics

AI/ML Engineer

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial intelligence (AI) and machine learning (ML) technologies across various use cases defined by the client under a ...

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine ...

Nastech Global

AI/ML Engineer

Irving, TX · On-site

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title: Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

$104K - $145K/yr

PingWind is seeking an AI/ML responsible for architecting, implementing, and governing advanced AI and machine learning capabilities that enhance MODES III dashboard analytics, automation, and data ...

previous pagenext page

Showing results 21-40

All JobsAi Ml Jobs

Ai Ml information

See salary details

$37.5K

$122.7K

$196.5K

How much do ai ml jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai ml in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Ml vs Data Scientist?

AspectAi MlData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python, RDegree in Statistics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, startups, research labs focusing on AI/ML modelsBusiness analytics, research, and data-driven decision-making across industries
Employer & Industry UsagePrimarily in AI/ML product development, automation, and innovationIn data analysis, predictive modeling, and strategic insights
Common Search & ComparisonOften compared for technical skills and project focusCompared for data analysis and business impact

While both roles involve working with data and programming, Ai Ml specialists focus on developing machine learning models and AI systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often overlap but differ in their primary objectives and technical focus.

What are the key skills and qualifications needed to thrive as an AI/ML engineer, and why are they important?

To thrive as an AI/ML Engineer, you need strong programming skills (especially in Python or R), a solid understanding of mathematics and statistics, and typically a degree in computer science or a related field. Experience with machine learning frameworks (like TensorFlow, PyTorch, or Scikit-learn), knowledge of data processing tools, and relevant certifications are highly valued. Problem-solving ability, critical thinking, and effective communication distinguish top performers in this role. These skills and qualities are crucial for developing robust AI solutions, interpreting complex data, and collaborating across technical and non-technical teams.

What are some common challenges faced by AI/ML engineers when deploying machine learning models to production?

AI/ML engineers often encounter challenges when transitioning models from development to production, such as ensuring model scalability, handling data drift, and maintaining model performance in real-world scenarios. Integrating models with existing systems and managing dependencies can also be complex, especially when collaborating with software engineers and DevOps teams. To address these issues, many organizations implement robust testing, monitoring, and continuous integration pipelines to streamline deployments and ensure reliable model performance.

What is an AI/ML professional?

AI/ML professionals are experts who develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models and systems. Their work involves analyzing large datasets, designing algorithms, and creating software that can learn from data and make predictions or decisions. They often collaborate with data scientists, engineers, and business stakeholders to solve complex problems and drive innovation across various industries. These professionals typically have strong backgrounds in mathematics, programming, and statistics.
More about Ai Ml jobs
What cities are hiring for Ai Ml jobs? Cities with the most Ai Ml job openings:
What are the most commonly searched types of Ai Ml jobs? The most popular types of Ai Ml jobs are:
What states have the most Ai Ml jobs? States with the most job openings for Ai Ml jobs include:
Ai Ml jobs near you
Infographic showing various Ai Ml job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI/ML Engineer

ReturnPro

Aventura, FL • On-site

Full-time

Re-posted 28 days ago

Job description

We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources.

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks.

Primary Responsibilities/Essential Functions

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.

Key Responsibilities

  • Design, build, and deploy predictive models for retail pricing using data from various internal and external sources.

  • Develop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation.

  • Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval.

  • Build and integrate AI agentic frameworks for autonomous decision-making and task automation.

  • Build and maintain scalable machine learning pipelines for data processing, training, and inference.

  • Collaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions.

  • Monitor and improve model performance, ensuring robustness, scalability, and reliability.

  • Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment.

Required:

· 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.

· Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.

· Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.

· Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.

· Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).

· Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.

· Excellent problem-solving skills and ability to communicate complex AI concepts clearly.

Preferred:

· Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.

· Experience developing and deploying RAG systems for dynamic content retrieval.

· Familiarity with AI agentic frameworks for building autonomous AI agents.

· Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.

· Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.

Apply