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Charlotte, NC (Hybrid 3 days onsite / 2 days remote) Local W2 candidates only We are seeking a highly skilled and motivated

AI/ML Engineer / Python Developer

with proven experience in

Large Language Models (LLMs) ,

GPU-based computing , and

cloud-native architecture on GCP . The ideal candidate will possess a strong background in API development, distributed computing, and deploying AI/ML solutions at scale using modern tools and frameworks. Design, develop, and deploy AI/ML models with a focus on

generative AI

using frameworks like

LLaMA

and

Mistral .

Optimize model training and inference on

GPU clusters , using

multi-GPU training

techniques.

Develop and expose

RESTful APIs

using

FastAPI ,

Unicorn , and

Swagger

for AI model integration.

Architect and maintain

cloud-native applications

on

Google Cloud Platform (GCP) , including use of

TPUs and GPU instances .

Build and scale data pipelines with

Apache Kafka

for real-time data streaming and use

Apache Spark (PySpark)

for distributed data processing.

Implement and support

Kubernetes -based infrastructure for scalable model training and deployment.

Develop back-end services and APIs using

Python

and

Django .

Configure and manage

NVIDIA GPU drivers and environments

for high-performance computing.

Work collaboratively in a fast-paced, hybrid work environment and contribute to continuous integration and deployment practices.

710 years

of total experience in software engineering and AI/ML. Hands-on experience with

Python ,

FastAPI ,

Unicorn ,

Swagger ,

Django .

Strong understanding of

Generative AI frameworks

(e.g., LLaMA, Mistral).

Deep expertise in

GPU-accelerated training , with proficiency in

TensorFlow Distributed ,

PyTorch Distributed , and

Horovod .

Proficiency in

Apache Kafka ,

Apache Spark (PySpark) , and

Kubernetes .

Demonstrated experience with

GCP

services, particularly with

TPUs

and

GPU-enabled compute instances .

Experience in building and deploying scalable

cloud-native architectures

and microservices.

Excellent problem-solving, communication, and teamwork skills.

Contributions to open-source LLM projects or experience training LLMs from scratch.

Familiarity with MLOps practices and frameworks.

TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Third-party recruiters, please do not reach out for this role.

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