10,227 AI Ml Engineer jobs in the United States

• Design, develop, and implement deep learning models for various applications.
• Conduct research on state-of-the-art AI/ML algorithms and techniques.
• Preprocess, clean, and analyze large datasets.
• Perform feature engineering and selection.
• Train, evaluate, and optimize machine learning models.
• Deploy AI/ML models into production environments.
• Collaborate with cross-functional teams to define project requirements.
• Stay abreast of the latest advancements in AI/ML and deep learning.
• Write clean, efficient, and well-documented code.
• Mentor junior engineers and contribute to technical discussions.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of experience in AI/ML engineering, with a strong focus on deep learning.
• Proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Experience with cloud computing platforms (AWS, Azure, GCP) and MLOps.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with natural language processing (NLP) or computer vision is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, particularly in a remote setting.
• Ability to work independently and manage multiple projects effectively.
• Published research in top-tier AI/ML conferences or journals is a significant advantage.

• Design, develop, and implement advanced deep learning models for various applications, including but not limited to computer vision, natural language processing, and predictive analytics.
• Conduct research to explore new AI/ML algorithms, techniques, and methodologies, and evaluate their potential applications.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI solutions into products and services.
• Preprocess and analyze large datasets, perform feature engineering, and ensure data quality for model training.
• Train, fine-tune, and evaluate deep learning models, optimizing for performance, accuracy, and efficiency.
• Deploy AI/ML models into production environments, ensuring scalability, reliability, and maintainability.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research and development.
• Develop and maintain robust codebases, conduct code reviews, and ensure adherence to best practices.
• Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team.
• Prepare technical documentation, reports, and presentations on research findings and model performance.
• Contribute to intellectual property and publications in relevant scientific and technical communities.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering, with a significant focus on deep learning.
• Proven experience in building and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
• Proficiency in programming languages such as Python, and experience with libraries like NumPy, Pandas, and Scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services is highly desirable.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience with MLOps practices is a plus.

On-Demand Group is currently seeking for an AI/ML Engineer for a 12-month contract engagement.

Job Title: AI/ML Engineer

Job Type: 12-month contract

Job Location: Hybrid in Medina, MN

TOP SKILLS/REQUIREMENTS:

Must have end-to-end deployment, monitoring, and maintenance of models with Azure (preferred) or AWS

Experience with Azure AI foundry

Experience with applied data science

Literacy with C# is a nice to have

Self-directed learner

Strong communication skills (working with boht POs and end users)

Key Responsibilities

AI Solution Development & Deployment:

Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.

Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.

Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.

Project Delivery & Client Engagement

Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.

Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.

Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.

Model Validation & Quality Assurance

Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.

Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.

Stay current with industry trends and best practices in AI technology, incorporating them into solution development.

Preferred Consulting Experience

Collaborate with sales and delivery teams to design AI solutions that meet client needs.

Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions.

Conduct technical presentations and demonstrations to clients and stakeholders.

Education & Experience

Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)

3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.

Experience in a consulting environment, engaging with clients and delivering tailored solutions.

Technical Skills

Proficiency in programming languages such as Python or C#.

Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.

Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.

Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.

Model selection, validation, and workload optimization.

Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.

Understanding of MLOps practices and tools for model lifecycle management.

Soft Skills

Strong analytical and problem-solving abilities.

Excellent communication and collaboration skills.

Ability to work independently and as part of a team in a dynamic, fast-paced environment.

The projected hourly range for this position is $60 to $70.

On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning.

Role Overview:

We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications.

Key Responsibilities

• Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases.
• Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI.
• Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments.
• Collaboration: Work closely with cross-functional teams to shape the future of AI-driven platforms.

What You Bring

• Strong technical foundation in AI/ML, data science, and systems engineering.
• Experience building and deploying ML models in production.
• Familiarity with modern AI frameworks and environments.
• Ability to balance long-term innovation with short-term tactical execution.
• Problem-solving mindset with a drive to learn and adapt.
• Clear communicator and team player, comfortable in startup-style environments.

Preferred

• Experience with distributed or edge-deployable ML systems.
• Background in mission-critical domains such as autonomy, national security, or advanced robotics.
• Exposure to containerization, orchestration, or cloud infrastructure.
• Prior work with geospatial or multi-modal data is a plus.

Benefits

• Competitive compensation and equity.
• Full health benefits + 401(k).
• Opportunity to help scale a cutting-edge AI company from the ground up.
• Offices in California with opportunities for travel to partner sites.

Job Description: AI/ML Engineer We’re seeking a highly skilled AI/ML Engineer to join our engineering team in USA. his role requires a strong foundation in computer science, statistics, and data science, along with hands-on experience in modern ML frameworks. Required Experience and Exposure • Bachelor’s or master’s degree in computer science, Machine Learning, Business Analytics, Data Science or related field • Proven experience in building and deploying ML models in real-world applications • Strong programming skills in Python (preferred), Gherkin. • Solid understanding of machine learning algorithms, deep learning, and statistical modeling • Experience with any of the cloud platforms (AWS or any) and ML tools (Databricks, MLflow, etc.) 7301 Parkway Drive S, Suite 1032 | Hanover MD 21076 | CONFIDENTIAL 2 Job Duties and Responsibilities: • Develop AI-driven solutions and intelligent agents tailored to automotive applications, leveraging Python, Gherkin, C++, and modern AI/ML frameworks across both front-end and back-end systems. • Build and implement AI-powered tools to streamline and enhance various stages of automotive testing and validation. • Integrate and manage large language models (LLMs) such as Llamas, ChatGPT, and Gemini using AWS Bedrock and Amazon SageMaker for inference, deployment, and fine-tuning. • Fine-tune LLMs and AI models to optimize performance and accuracy for domain-specific automotive use cases. • Deploy, monitor, and maintain AI systems in production environments, ensuring reliability, scalability, and compliance. • Collaborate closely with cross-functional teams—including data scientists, HIL testers, and feature owners—to embed AI capabilities into automotive system architectures. Required Skills: • Programming: Python, Exposure to C++ • Behavior Driven Development: Gherkin • Cloud Platforms: AWS • Cloud Services: AWS Bedrock and Amazon SageMaker Preferred Skills: • ML Frameworks: (Example: TensorFlow, PyTorch, Scikit-learn) • Data Management and Analysis: (Example: SQL, Spark, Pandas) • Devops/ Deployment: exposure to Docker or Kubernetes, CI/CD pipeline etc Interpersonal Skills: • Ability to work in a team environment, strong interpersonal, written and verbal communication skills • Highly motivated self-starter • High level of interpersonal and problem-solving skills • Demonstrated capability and willingness to teach/coach/mentor others • Demonstrated critical thinking skills

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning.

Role Overview:

We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications.

Key Responsibilities

• Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases.
• Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI.
• Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments.
• Collaboration: Work closely with cross-functional teams to shape the future of AI-driven platforms.

What You Bring

• Strong technical foundation in AI/ML, data science, and systems engineering.
• Experience building and deploying ML models in production.
• Familiarity with modern AI frameworks and environments.
• Ability to balance long-term innovation with short-term tactical execution.
• Problem-solving mindset with a drive to learn and adapt.
• Clear communicator and team player, comfortable in startup-style environments.

Preferred

• Experience with distributed or edge-deployable ML systems.
• Background in mission-critical domains such as autonomy, national security, or advanced robotics.
• Exposure to containerization, orchestration, or cloud infrastructure.
• Prior work with geospatial or multi-modal data is a plus.

Benefits

• Competitive compensation and equity.
• Full health benefits + 401(k).
• Opportunity to help scale a cutting-edge AI company from the ground up.
• Offices in California with opportunities for travel to partner sites.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning.

Role Overview:

We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications.

Key Responsibilities

• Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases.
• Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI.
• Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments.
• Collaboration: Work closely with cross-functional teams to shape the future of AI-driven platforms.

What You Bring

• Strong technical foundation in AI/ML, data science, and systems engineering.
• Experience building and deploying ML models in production.
• Familiarity with modern AI frameworks and environments.
• Ability to balance long-term innovation with short-term tactical execution.
• Problem-solving mindset with a drive to learn and adapt.
• Clear communicator and team player, comfortable in startup-style environments.

Preferred

• Experience with distributed or edge-deployable ML systems.
• Background in mission-critical domains such as autonomy, national security, or advanced robotics.
• Exposure to containerization, orchestration, or cloud infrastructure.
• Prior work with geospatial or multi-modal data is a plus.

Benefits

• Competitive compensation and equity.
• Full health benefits + 401(k).
• Opportunity to help scale a cutting-edge AI company from the ground up.
• Offices in California with opportunities for travel to partner sites.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning.

Role Overview:

We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications.

Key Responsibilities

• Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases.
• Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI.
• Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments.
• Collaboration: Work closely with cross-functional teams to shape the future of AI-driven platforms.

What You Bring

• Strong technical foundation in AI/ML, data science, and systems engineering.
• Experience building and deploying ML models in production.
• Familiarity with modern AI frameworks and environments.
• Ability to balance long-term innovation with short-term tactical execution.
• Problem-solving mindset with a drive to learn and adapt.
• Clear communicator and team player, comfortable in startup-style environments.

Preferred

• Experience with distributed or edge-deployable ML systems.
• Background in mission-critical domains such as autonomy, national security, or advanced robotics.
• Exposure to containerization, orchestration, or cloud infrastructure.
• Prior work with geospatial or multi-modal data is a plus.

Benefits

• Competitive compensation and equity.
• Full health benefits + 401(k).
• Opportunity to help scale a cutting-edge AI company from the ground up.
• Offices in California with opportunities for travel to partner sites.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning.

Role Overview:

We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications.

Key Responsibilities

• Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases.
• Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI.
• Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments.
• Collaboration: Work closely with cross-functional teams to shape the future of AI-driven platforms.

What You Bring

• Strong technical foundation in AI/ML, data science, and systems engineering.
• Experience building and deploying ML models in production.
• Familiarity with modern AI frameworks and environments.
• Ability to balance long-term innovation with short-term tactical execution.
• Problem-solving mindset with a drive to learn and adapt.
• Clear communicator and team player, comfortable in startup-style environments.

Preferred

• Experience with distributed or edge-deployable ML systems.
• Background in mission-critical domains such as autonomy, national security, or advanced robotics.
• Exposure to containerization, orchestration, or cloud infrastructure.
• Prior work with geospatial or multi-modal data is a plus.

Benefits

• Competitive compensation and equity.
• Full health benefits + 401(k).
• Opportunity to help scale a cutting-edge AI company from the ground up.
• Offices in California with opportunities for travel to partner sites.