Machine Learning/AI ML Architect
Mastech Digital, Inc.
Braddock, United States of America
3 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Braddock, United States of America
Tech stack
Artificial Intelligence
Azure
Computer Programming
Continuous Integration
Data Architecture
Data Cleansing
Fraud Prevention and Detection
Python
Linear Regression
Machine Learning
MongoDB
TensorFlow
PyTorch
Large Language Models
Random Forest
Generative AI
GraphQL
Machine Learning Operations
Network Server
Artificial Intelligence Markup Language (AIML)
GPT
Jenkins
Job description
- Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
Requirements
- AutoGen
- Communication
- Generative AI
- GraphQL
- Jenkins
- LangGraph
- Machine Learning
- Model Context Protocol Client
- Model Context Protocol Servers
- Model Prototyping
- Azure
- Large Language Model (LLM)
- MongoDB
- Python, * Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
- Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
- Strong programming skills in Python and in similar languages.
- Familiarity with machine learning frameworks like PyTorch.
- Hands on experience with generative AI models such as GPT.
- Understanding of MLOps practices for building scalable AI pipelines.
- Solid understanding of natural language processing (NLP) and AI ethics.
- Translate complex requirements into scalable and efficient architecture
- Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
- Excellent Communication and Leadership qualities to work independently with minimal supervision.
Requirements:
- A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
- Strong knowledge data architecture in banking domain.
- 4+ Years Work Experience in Python, Mongo
- Strong hands-on experience with Microsoft Azure
- Integrate LLMs with enterprise datasets using Azure Open AI.
- Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
- ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
- GenAI: Knowledge in LLM Models, Langchain , Hugingface
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
Good written and verbal communication skills