Artificial Intelligence/Machine Learning Engineer II Location : Austin, TX Onsite Duration : Long term contract As part of the AI Technical Team, you will design, build, and deploy advanced models ...
Quick apply
Artificial Intelligence/Machine Learning Engineer II Location : Austin, TX Onsite Duration : Long term contract As part of the AI Technical Team, you will design, build, and deploy advanced models ...
Quick apply
Artificial Intelligence/Machine Learning Engineer II Location : Austin, TX Onsite Duration : Long term contract As part of the AI Technical Team, you will design, build, and deploy advanced models ...
... engineering, computer science, and artificial intelligence. The mission of the College is to ... Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science ...
... engineering, computer science, and artificial intelligence. The mission of the College is to ... Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science ...
... engineering, computer science, and artificial intelligence. The mission of the College is to ... Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science ...
... engineering, computer science, and artificial intelligence. The mission of the College is to ... Ph.D. or Doctorate in Computer Science, Artificial Intelligence, Machine Learning, Data Science ...
Atlanta, TX · On-site
$140 - $190/hr
... in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges. Requirements * 7-10 years of demonstrated experience in data science or machine learning, with a ...
Atlanta, TX · On-site
$140 - $190/hr
... in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges. Requirements * 7-10 years of demonstrated experience in data science or machine learning, with a ...
Lewisville, AR · On-site
$74K - $124K/yr
The Continuous Improvement (CI) Engineer drives lean transformation and operational excellence at ... machine learning, or Internet of Things (IoT) applications, to drive innovation and future-proof ...
Lewisville, AR · On-site
$74K - $124K/yr
The Continuous Improvement (CI) Engineer drives lean transformation and operational excellence at ... machine learning, or Internet of Things (IoT) applications, to drive innovation and future-proof ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
Texarkana, TX · On-site
Ability to teach across the curriculum, in one or more sub-disciplines such as project management, operations management, systems engineering, energy management, manufacturing, machine learning ...
$23.6K - $28.9K
5% of jobs
$30.7K is the 25th percentile. Wages below this are outliers.
$28.9K - $34.2K
59% of jobs
$34.2K - $39.5K
9% of jobs
$39.9K is the 75th percentile. Wages above this are outliers.
$39.5K - $44.7K
17% of jobs
$44.7K - $50K
4% of jobs
$50K - $55.3K
2% of jobs
$55.3K - $60.5K
3% of jobs
$60.5K - $65.8K
0% of jobs
$65.8K - $71.1K
0% of jobs
$71.1K - $76.3K
0% of jobs
$76.3K - $81.6K
0% of jobs
$23.6K
$39.5K
$81.6K
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

Contractor
Re-posted 15 days ago
Hello There,
My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI/ML Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .
Job Description
Position : Artificial Intelligence/Machine Learning Engineer II
Location : Austin, TX Onsite
Duration : Long term contract
As part of the AI Technical Team, you will design, build, and deploy advanced models and AI solutions to solve real-world problems. You will work with large datasets, AI frameworks, and cross-functional teams to deliver impactful results that align with our business goals.
Minimum Yrs of Experience, Skills, and Qualifications
------ 4-7 years: Experience creating end-to-end custom applications leveraging AI technologies
------ 4-7 years: Designing and implementing RAG solutions using vector databases, embedding models, scripting, and LLMs to enhance contextual
relevance and accuracy in generative outputs.
------ 4-7 years: Experience and judgement for designing cutting edge technology solutions
------ 4-7 years: Evaluating and benchmark generative models using quantitative and qualitative metrics to ensure performance, safety, accuracy, and
reliability.
------ 4-7 years: Monitoring and improving model performance through continuous feedback loops, error analysis, and prompt engineering.
------ 4-7 years: Contributing to ethical AI practices, including bias detection, content filtering, implementation of guardrails, and responsible
deployment strategies.
Preferred Skills and Qualifications
------ 1 year: Evaluate appropriate LLMs and associated model providers, the modality of accessing these models (SaaS/PaaS), data obfuscation
strategies for interacting with models, and cost parameters
------ 1 year: Determine appropriate architecture for AI services
------ 1 year: Developing/maintaining AI Agents
------ 1 year: Use of Azure AI Foundry services for building AI solutions