SIGN IN
Temporary Intern - Artificial Intelligence/Machine Learning Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Cotiviti · 1 day ago

Temporary Intern - Artificial Intelligence/Machine Learning Engineer

Cotiviti is offering a temporary internship opportunity in the field of Artificial Intelligence and Machine Learning. Interns will work on developing machine learning models, data preprocessing, model training, and integration with software applications under the guidance of experienced professionals.
Information Technology & Services
check
H1B Sponsor Likelynote

Responsibilities

Assist in developing machine learning models for various applications, including but not limited to natural language processing, recommendation systems, and predictive analytics
Work on data preprocessing tasks such as data cleaning, feature engineering, and exploratory data analysis to prepare datasets for model training
Gain insights from data and identify patterns that can be leveraged for model development
Participate in model training processes using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Conduct experiments to evaluate model performance, fine-tune hyperparameters, and optimize algorithms for accuracy and efficiency
Collaborate with software developers to integrate machine learning components into software applications and platforms
Understand software requirements and design machine learning solutions that meet performance, scalability, and usability criteria
Assist in testing machine learning models using validation techniques such as cross-validation and holdout validation
Evaluate model robustness, reliability, and generalization performance across different datasets and use cases
Document the development process, experimental results, and technical specifications of machine learning models
Prepare reports and presentations to communicate findings, insights, and recommendations to stakeholders

Qualification

Machine Learning DevelopmentModel TrainingEvaluationProgramming (Python)Machine Learning LibrariesData ManipulationAnalysisQuantitative AptitudeData InterpretationCuriosityLearning AgilityResilienceEthicalCritical ThinkingAttention to DetailCommunication SkillsIntegrity

Required

Pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field
Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, classification, regression, and clustering
Proficiency in at least one programming language commonly used in machine learning (Python preferred)
Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras
Experience with data manipulation and analysis using tools like pandas, NumPy, or MATLAB
Solid understanding of software development principles and practices
Excellent problem-solving skills and attention to detail
Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations
Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting
Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations
Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively
Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions
Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices
Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment
Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided
Remaining in a stationary position, often standing or sitting for prolonged periods
Repeating motions that may include the wrists, hands and/or fingers
Must be able to provide a dedicated, secure work area
be able to provide high-speed internet access / connectivity and office setup and maintenance

Company

Cotiviti

company-logo
Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States.

H1B Sponsorship

Cotiviti has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (165)
2024 (118)
2023 (90)
2022 (102)
2021 (72)
2020 (67)

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Adam Gilbert
Director, Interoperability Operations and Partnerships
linkedin
leader-logo
Chris McIntyre
Sr. Program Manager, RQNC Operations
linkedin
Company data provided by crunchbase