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Ai Machine Learning Engineer Jobs (NOW HIRING)

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

$117.20K - $140.70K/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 ...

Corning

AI/Machine Learning Engineer

Wilmington, NC

$82.05K - $112.82K/yr

Scope of Position: The AI/ML Advanced Data Analytics Engineer will be part of a core solution ... Apply data science techniques, such as machine learning, statistical modeling, and artificial ...

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82.05K - $112.82K/yr

Scope of Position: The AI/ML Advanced Data Analytics Engineer will be part of a core solution ... Apply data science techniques, such as machine learning, statistical modeling, and artificial ...

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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 3, 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.

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 May 2026, with employment types broken down into 81% Full Time, 11% Part Time, 6% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

AI/ Machine Learning Engineer

Cogent Info

Austin, TX

Other

Posted 27 days ago

Job description

Mid-Level AI/Machine Learning Engineer

Join one of the top 10 global powerhouses transforming the future of Market. As an AI/Machine Learning Engineer, you'll play a key role in designing, developing, and deploying intelligent systems that support millions of users worldwide. From building scalable machine learning models and data pipelines to deploying AI solutions on cloud platforms, this is your opportunity to make a global impact with next-generation, data-driven systems. Whether you're a model builder, problem-solver, or technical leader, this team values engineers who bring innovation, collaboration, and a passion for applying AI at scale.

Location: flexible to relocate nationwide / relocate in particular time zone Full-time on-site required

Build Intelligent Systems That Make an Impact!

We're looking for mid-level AI professionals (3–7 years' experience) who are passionate about building, deploying and scaling AI and Generative AI solutions in production environments.

Open Roles:

  • Machine Learning Engineer
  • AI/GenAI Engineer
  • MLOps/AI Platform Engineer
  • AI Application Engineer

What You'll Do:

  • Design, train and deploy ML and GenAI models for real-world applications
  • Build LLM-based applications, RAG pipelines and AI-powered APIs
  • Develop scalable MLOps pipelines for model training, validation, CI/CD and monitoring
  • Work with cloud platforms (AWS, Azure, GCP) and GPU/accelerated workloads
  • Integrate AI models into web and backend applications
  • Monitor model performance, drift and reliability in production

What We're Looking For (Mid-Level):

  • 3–7 years of experience in ML/AI/MLOps/AI Engineering
  • Strong programming in Python (PyTorch, TensorFlow, scikit-learn)
  • Experience with LLMs, prompt engineering, vector databases and RAG frameworks
  • Knowledge of Docker, Kubernetes, CI/CD and cloud ML services
  • Experience with APIs, microservices and production deployments

Preferred Skills & Certifications:

  • Experience with OpenAI, Azure OpenAI, Vertex AI, Bedrock, Hugging Face
  • MLOps tools: MLflow, Kubeflow, Airflow, Weights & Biases
  • Cloud certifications or AI/ML certifications
  • Exposure to data pipelines, streaming and feature stores

Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you're excited about this role but don't meet every requirement, we still encourage you to apply.

At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.

Apply