Status:
Available
Location:
United States
Basic salary:
210000
Exp. years:
>3 years in lead ML engineering position
Job Type:
Permanent
Availability:
2 Weeks
Overview:
- 3+ years in Lead/Senior ML Engineering positions for the Finance and Tech Consulting Firms
- Developed a hybrid computer vision (CNN/Optical-flow) model for tracking suspicious activities
- Lead Machine Learning (ML) team and provided a technical and analytical roadmap on ML projects Digitization and Predictive Risk Management
- Identified the new applications of ML across multiple companies, internally and for clients partners to pilot ML projects
- Developed a multi-stage computer vision model combined with NLP to digitize complex documents and map them into smart contracts
- GPU and CPU Optimized model and deployed the API Service in production in Azure Kubernetes GPU Cluster (NC-12-s-v2 with 4xP100 GPU node and 4 pods)
- Programming Languages: Proficient in Python (Keras, TensorFlow, PyTorch, OpenCV, Scikit-Learn, Pandas, Azure Service Bus, FastAPI, Flask, and Selenium), Bash, and Matlab–Intermediate Knowledge in Deployment Tools (Docker and Kubernetes), Cloud Deployment/Computing (Azure, AWS and GCP), C++, SQL, Javascript, HTML
- Data Science: Deep Learning (Convolutional, Recurrent, and Graph Neural Networks, Single Shot Detection, Transformer Models, Generative Models, Optical Character Recognition, Optical Flow, Low-Shot Learning), Machine Learning (Logistic Regression, Random Forest, Support Vector Machine, K-Means, DBSCAN, Recommendation Systems) and Image Processing
- Developed a novel deep learning model (ticket switching) for self-checkout platform
- Ph.D. in Physics, Texas A&M University (GPA 4.0) 12.2016
