• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 1st Aug 2025

• Experience should fall between 4-7 years.
• Model Development and Design: Develop, test, and optimize machine learning models for classification, regression, clustering, or recommendation tasks.
• Data Preparation: work alongside the Enterprise Data Management Team to collect, clean, preprocess, and analyze large datasets to create high-quality
 training datasets.
• Algorithm Implementation: Implement machine learning algorithms and neural networks using frameworks like TensorFlow, PyTorch, and scikit-learn.
• Deployment and Integration: Deploy trained models into production environments using APIs, containers (e.g., Docker), or cloud services (AWS, GCP, or
 Azure).
• Performance Monitoring: Monitor model performance, detect drift, and implement improvements or retraining strategies to ensure models remain
 accurate over time.
• Collaboration: Work closely with our data management team, applications team, enterprise architects, and product managers to align solutions with
  business needs.
• Documentation: Create thorough documentation for models, processes, and experiments to ensure reproducibility and scalability.
• MLOps Practices: Develop automated pipelines for continuous integration, delivery, and model retraining (CI/CD).
• Ethics and Compliance: Ensure AI models comply with industry regulations, address biases, and adhere to ethical standards.