AI Summary
Join Aivra Health LLC's AI/ML team as a Machine Learning Engineer Intern. Assist in building and training machine learning models, perform data preprocessing, and collaborate with cross-functional teams. Strong understanding of Machine Learning fundamentals and knowledge of Python, R, and SQL required.
Key Highlights
Build and train machine learning models
Collaborate with cross-functional teams
Strong understanding of Machine Learning fundamentals
Key Responsibilities
Assist in building and training machine learning models
Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
Implement supervised and unsupervised learning algorithms
Optimize model performance using hyperparameter tuning
Deploy ML models using REST APIs or cloud services
Work on model monitoring, validation, and performance tracking
Collaborate with cross-functional teams in Agile/Scrum environment
Document experiments and maintain reproducible ML workflows
Technical Skills Required
Benefits & Perks
Competitive hourly compensation ($28-$45/hr)
Hands-on real-world AI/ML project experience
Mentorship from senior ML engineers
Opportunity for full-time conversion
H1B sponsorship support for eligible candidates
Nice to Have
Prior ML internship or academic research experience
Experience deploying models into production
Knowledge of MLOps practices
Strong problem-solving and analytical skills
Good communication and teamwork abilities
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aivra Health LLC, is seeking the following. Apply via Dice today!
Machine Learning Engineer Intern
United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome
Position Overview
We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.
The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.
Key Responsibilities
- Assist in building and training machine learning and deep learning models
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
- Implement supervised and unsupervised learning algorithms
- Optimize model performance using hyperparameter tuning
- Deploy ML models using REST APIs or cloud services
- Work on model monitoring, validation, and performance tracking
- Collaborate with cross-functional teams in Agile/Scrum environment
- Document experiments and maintain reproducible ML workflows
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field
- Strong understanding of Machine Learning fundamentals
- Knowledge of Probability, Statistics, and Linear Algebra
- Basic understanding of Data Structures and Algorithms
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Programming Languages
- Python
- R (preferred)
- Java (basic knowledge)
- SQL
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- XGBoost
- LightGBM
- Pandas
- NumPy
- Apache Spark
- PySpark
- Hadoop
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- Natural Language Processing (NLP)
- Computer Vision
- Deep Learning
- Transformers
- LLM fundamentals
- AWS (SageMaker, S3, EC2)
- Microsoft Azure ML
- Google Cloud AI Platform
- Docker
- Kubernetes
- MLflow
- CI/CD pipelines
- Model Deployment & Monitoring
- Git
- REST APIs
- Feature Engineering
- Model Evaluation Metrics
- A/B Testing
- Agile/Scrum
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- Prior ML internship or academic research experience
- Experience deploying models into production
- Knowledge of MLOps practices
- Strong problem-solving and analytical skills
- Good communication and teamwork abilities
- Competitive hourly compensation ($28 – $45/hr)
- Hands-on real-world AI/ML project experience
- Mentorship from senior ML engineers
- Opportunity for full-time conversion
- H1B sponsorship support for eligible candidates
- STEM OPT extension support
We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.
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