Machine Learning &AIEngineer - Remote

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Cloud Computing
Apache Spark
Application Development
Artificial Intelligence
Celery
Continuous Delivery
.NET
API
ASP.NET
Amazon SageMaker
Amazon Web Services
GraphQL
HIPAA
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Docker
Encryption
Extract
Transform
Load
GitHub
C#
Continuous Integration
Data Engineering
Data Processing
DevOps
Flask
RBAC
RESTful
Regulatory Compliance
Software Security
System On A Chip
Grafana
Microservices
Microsoft Azure
Performance Monitoring
PyTorch
Python
TensorFlow
Terraform
WPF
scikit-learn

Job Details

Machine Learning & AI Engineer

Location: Remote
Contract

We are seeking a Machine Learning & AI Engineer with expertise in Python for backend AI/ML development and .NET for application development, leveraging Azure and AWS to deploy scalable AI solutions, please find below the JD and terms & conditions: (please note its a contractual position for 3 months)

Key Responsibilities & Qualifications

AI/ML Development: Design, train, and optimize ML models using Python with frameworks like TensorFlow, PyTorch, and Scikit-learn.

Cloud Deployment: Develop and deploy AI solutions on Azure (Azure ML, Cognitive Services, AKS) and AWS (SageMaker, Lambda, ECS, API Gateway).

MLOps & CI/CD: Automate model lifecycle using Azure DevOps, GitHub Actions, Docker, Kubernetes, and Terraform.

Backend Engineering: Implement scalable Python-based AI services with FastAPI, Flask, and Celery, integrating with cloud platforms.

Application Development: Build applications using .NET (C#, ASP.NET Core, Blazor, WPF) for enterprise environments.

Data Engineering: Develop ETL pipelines, feature engineering, and data processing using Azure Data Factory, AWS Glue, and Spark.

APIs & Microservices: Develop and integrate AI-driven RESTful and GraphQL APIs into .NET applications.

Security & Compliance: Ensure AI models and applications adhere to IAM, RBAC, encryption, GDPR, HIPAA, SOC 2 standards.

Performance Monitoring: Implement AI model and application monitoring using Prometheus, Grafana, Azure Monitor, and logging frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.