Machine Learning Engineer Position Available In Mecklenburg, North Carolina

Machine Learning Engineer

NO C2C ONLY ON W2

We have an immediate requirement for Machine Learning Engineer@NC

Job Description:

Model Development & Optimization
Optimize gradient descent methods using techniques like LoRA (Low-Rank Adaptation) and Quantization.
Work on Retrieval-Augmented Generation (RAG) implementations for AI-driven applications.
Deep Learning & Frameworks
Develop models using TensorFlow and optimize them for parallel computing.
Utilize Dask for distributed machine learning workloads.
Software Engineering & Design Principles
Apply SOLID principles and GOF (Gang of Four) Design Patterns to ensure maintainability.
Use abstract classes in Python to enforce structured code practices.
Implement Dependency Injection to enhance modularity and testability.
Parallel Computing & Performance Optimization
Work with multiprocessing & multithreading in Python to optimize computational efficiency.
Understand Python s Global Interpreter Lock (GIL) and its impact on concurrency
Cloud, DevOps & APIs
Develop and deploy ML models using Azure ML SDK v2 and Databricks.
Implement Infrastructure as Code (IaC) using Terraform for scalable deployments.
Work with Azure Queues for event-driven architectures.
Design and optimize gRPCs & REST APIs for high-performance ML services.
Coding & Problem-Solving
Solve complex coding problems
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.
Report this job

Dice Id:

90838361

Position Id:

8674281