AI Summary
Join our AI/ML team as a Junior Machine Learning Engineer to develop, optimize, and deploy machine learning models in production environments. Collaborate with cross-functional teams in an Agile/Scrum environment. Strong understanding of Machine Learning algorithms and fundamentals required.
Key Highlights
Develop, train, and evaluate machine learning models
Work closely with Data Scientists, Data Engineers, and Software Engineers
Deploy ML models into production environments
Key Responsibilities
Develop, train, and evaluate machine learning models
Perform data cleaning, preprocessing, and feature engineering
Implement supervised and unsupervised learning algorithms
Assist in deploying ML models into production environments
Monitor model performance and retrain models as needed
Technical Skills Required
Benefits & Perks
Competitive salary: $90,000 – $120,000 annually
Performance-based bonuses
Health, Dental, and Vision insurance
401(k) with company match
Paid Time Off (PTO)
H1B transfer & new sponsorship support
STEM OPT extension support
Nice to Have
Experience deploying ML models into production
Exposure to MLOps best practices
Knowledge of distributed systems
Strong analytical and problem-solving 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!
Junior Machine Learning Engineer
United States (Onsite / Hybrid / Remote Available)
Full-Time
Pay Range: $90,000 – $120,000 per year (based on experience, skills, and location)
Visa: H1B Sponsorship Available | STEM OPT & OPT Candidates Welcome
Position Overview
We are seeking a passionate and detail-oriented Junior Machine Learning Engineer to join our AI/ML team. This role is ideal for entry level candidates and early-career professionals who want to build, optimize, and deploy machine learning models in production environments.
You will work closely with Data Scientists, Data Engineers, and Software Engineers to develop scalable ML solutions that drive data-driven decision-making.
Key Responsibilities
- Develop, train, and evaluate machine learning models
- Perform data cleaning, preprocessing, and feature engineering
- Implement supervised and unsupervised learning algorithms
- Assist in deploying ML models into production environments
- Monitor model performance and retrain models as needed
- Work on model validation, experimentation, and A/B testing
- Collaborate with cross-functional teams in Agile/Scrum environment
- Document ML workflows and ensure reproducibility
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field
- 0–2 years of experience (internship, research, or academic projects acceptable)
- Strong understanding of Machine Learning algorithms and fundamentals
- Knowledge of Probability, Statistics, and Linear Algebra
- Basic understanding of Data Structures and Algorithms
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Programming Languages
- Python
- R (preferred)
- SQL
- Java (basic knowledge)
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- XGBoost
- LightGBM
- Pandas
- NumPy
- Apache Spark
- PySpark
- Hadoop
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- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Time Series Forecasting
- Recommendation Systems
- Transformer Models
- 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
- Version Control
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- Experience deploying ML models into production
- Exposure to MLOps best practices
- Knowledge of distributed systems
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
- Competitive salary: $90,000 – $120,000 annually
- Performance-based bonuses
- Health, Dental, and Vision insurance
- 401(k) with company match
- Paid Time Off (PTO)
- H1B transfer & new sponsorship support
- STEM OPT extension support
- Career growth opportunities in AI/ML domain
We are an Equal Opportunity Employer and welcome applications from diverse candidates, including international professionals requiring H1B sponsorship or STEM OPT support.
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