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Machine Learning Ai Jobs (NOW HIRING)

Resolve Tech Solutions

AI & ML Intern

Addison, TX · On-site

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

Synergistic it

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

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Machine Learning Ai information

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$25.5K

$42.6K

$88K

How much do machine learning ai jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning ai in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

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

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

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What states have the most Machine Learning Ai jobs? States with the most job openings for Machine Learning Ai jobs include:
What job categories do people searching Machine Learning Ai jobs look for? The top searched job categories for Machine Learning Ai jobs are:
Machine Learning Ai jobs near you
AI & ML Intern

AI & ML Intern

Resolve Tech Solutions

Addison, TX • On-site

Part-time

Posted 6 days ago

Job description

Artificial Intelligence & Machine Learning (AI & ML) Intern
Position Title: AI & ML Intern
Reporting to: Director, AI Strategy & Architecture
Position Summary
The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve real-world business challenges. This role provides hands-on exposure to data preparation, model experimentation, and performance evaluation, while collaborating with experienced data scientists and engineers. The internship is designed to provide practical learning opportunities, contribute to active projects, and help advance Juno Labs' innovation in applied AI solutions.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for machine learning experiments.
  • Support the development, training, and evaluation of AI & ML models under supervision.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Research and test new algorithms, libraries, and tools relevant to project needs.
  • Document processes, results, and findings to support team knowledge sharing.
  • Collaborate with engineers to integrate models into prototype or production environments.
  • Participate in code reviews, team discussions, and project planning sessions.
  • Assist in preparing presentations or reports on AI & ML project outcomes.
  • Stay current with academic research and industry trends in AI & ML.
  • Contribute to a culture of innovation, learning, and continuous improvement at Juno Labs.
  • Other duties as assigned

Qualifications
  • Current enrollment in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, Mathematics, or a related field
  • Foundational knowledge of machine learning concepts and techniques
  • Experience with programming languages such as Python and libraries such as TensorFlow, PyTorch, or scikit-learn
  • Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure OpenAI Cognitive Services preferred, but not required
  • Familiarity with data analysis tools (Pandas, NumPy, SQL, or similar)
  • Strong problem-solving skills and ability to work with ambiguity
  • Effective written and verbal communication skills
  • Demonstrated curiosity and eagerness to learn from feedback
  • Ability to work independently and collaboratively in a team environment
  • Alignment with RTS Core Values

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