Machine Learning Engineer
Aivra Health Llc
San Francisco, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Shift work Languages
EnglishJob location
Remote
San Francisco, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Data Cleansing
Data Structures
Python
Machine Learning
NumPy
TensorFlow
Standard Sql
Feature Engineering
PyTorch
GIT
Pandas
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Docker
Job description
We are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions., * Design, train, and deploy machine learning models.
- Build data preprocessing and feature engineering pipelines.
- Optimize model performance and accuracy.
- Deploy ML models into production environments.
- Collaborate with Data Scientists and Software Engineers.
- Monitor model performance and retrain models when needed.
- Maintain documentation for ML workflows.
- Research and implement new machine learning techniques.
Requirements
- Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong Python programming skills.
- Knowledge of Machine Learning algorithms.
- Understanding of statistics and data structures.
- Excellent analytical and problem-solving skills.
Preferred Skills
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- MLflow
- AWS
- Docker
- Kubernetes
- SQL
- Git
Benefits & conditions
- Health Insurance
- Paid Time Off
- Flexible Work Schedule
- Learning & Development
- 401(k)
- Career Growth Opportunities