Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
-
Design build and deploy machine learning models
-
Analyze large datasets to extract actionable insights
-
Develop and optimize ML pipelines (data preprocessing training inference)
-
Implement algorithms for classification regression clustering NLP or computer vision
-
Train evaluate and fine-tune models for accuracy and performance
-
Deploy models into production and monitor performance
-
Collaborate with data engineers product teams and stakeholders
-
Document models workflows and technical designs
-
Ensure ethical explainable and scalable AI solutions
Required Technical Skills
-
Programming: Python (primary) R (optional)
-
ML Libraries: Scikit-learn TensorFlow PyTorch
-
Data Handling: Pandas NumPy
-
Data Visualization: Matplotlib Seaborn
-
SQL & NoSQL databases
-
Feature engineering & model evaluation techniques
-
APIs & model serving: REST APIs FastAPI
-
Version control: Git
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Key Responsibilities Design build and deploy machine learning models Analyze large datasets to extract actionable insights Develop and optimize ML pipelines (data preprocessing training inference...
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
-
Design build and deploy machine learning models
-
Analyze large datasets to extract actionable insights
-
Develop and optimize ML pipelines (data preprocessing training inference)
-
Implement algorithms for classification regression clustering NLP or computer vision
-
Train evaluate and fine-tune models for accuracy and performance
-
Deploy models into production and monitor performance
-
Collaborate with data engineers product teams and stakeholders
-
Document models workflows and technical designs
-
Ensure ethical explainable and scalable AI solutions
Required Technical Skills
-
Programming: Python (primary) R (optional)
-
ML Libraries: Scikit-learn TensorFlow PyTorch
-
Data Handling: Pandas NumPy
-
Data Visualization: Matplotlib Seaborn
-
SQL & NoSQL databases
-
Feature engineering & model evaluation techniques
-
APIs & model serving: REST APIs FastAPI
-
Version control: Git
View more
View less