Excellent Opportunity || AI Solutions Architect ML Systems Optimization || Charlotte, NC

  • US05, IL
  • Posted 13 hours ago | Updated 2 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - to 12/31/2025

Skills

Optimization
Physical Layer
Data Link Layer
Artificial Intelligence
Deep Learning
TensorFlow
Software Engineering
Design Patterns
Dependency Injection
Performance Tuning
Multithreading
Concurrent Computing
Parallel Computing
Cloud Computing
DevOps
SDK
Databricks
Terraform
Microsoft Azure
Machine Learning (ML)
Problem Solving
Conflict Resolution
Python

Job Details

About the Role:

We are seeking a highly skilled Machine Learning Engineer to join our team for the SCB Group Function Portfolio Engagement. The ideal candidate will have strong expertise in ML model optimization, deep learning frameworks, cloud deployments, and software engineering best practices. This role involves designing and implementing scalable ML solutions while ensuring high performance and reliability in a production environment.

Key Responsibilities:

Model Development & Optimization

  • Implement Regularization techniques (L1, L2) to improve model generalization.
  • 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.
  • Apply time slicing & parallelization techniques for performance improvements.

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, such as:
  • Eg. Find the first pair of numbers in a list that sum up to a given target (e.g., N = 11) and return their indices in Python


SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.

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.