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MLOps Solutions Developer position at New Jersey, NJ location at Remote, Remote, USA
Email: [email protected]
From:

Hari prasad,

Smartfolks

[email protected]

Reply to:   [email protected]

Hi,

Greetings from Smart Folks!!!

My name is Hari Prasad we have a FULL-TIME job opportunity for you as
MLOps Lead/Architect one of our clients based at New Jersey, NJ. Please find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to [email protected] Or please call me on 469-425-3345 to discuss more about this position. 

Role: MLOps Solutions Developer

Location: New Jersey, NJ

Duration: 6-12 Months

Job Description 

We are seeking a highly skilled Software Engineer for the development of MLOps and LLMOps solutions with extensive experience in both MLOps and DevOps. In this role, you will work closely with data scientists, software engineers, and operations teams to develop scalable solutions for developing and deploying ML / LLM models and AI systems.

WebRTC, ffmpeg, OpenCV, Linux video drivers, Badger key-value DB, REST API development, good concurrent programming skills

MetaMask and Masca wallet

Golang, TypeScript (React or Next.js), Python, Rust 

Key Responsibilities:

GPU Orchestration:

Leverage GPU resources for model training and inferencing using frameworks like
TensorFlow,
PyTorch, and platforms such as
Run.ai.

Model Management:

Utilize
HuggingFace and
MLflow to manage, track, and version machine learning models, ensuring consistency and reproducibility across environments.

Kubernetes & Docker:

Develop and deploy scalable, containerized ML services using
Kubernetes and
Docker, ensuring reliable deployment pipelines for LLMs and other ML models.

API Development:

Build
FastAPI-based microservices and
RESTful APIs for serving models and handling inference requests.

Version Control:

Maintain robust version control practices using
Git, ensuring proper tracking of code, configurations, and model changes.

Collaboration & Documentation:

Collaborate with cross-functional teams to align ML system deployment with DevOps best practices and document workflows thoroughly for future maintenance.

Key Qualifications:

MLOps:

Proven experience in
MLOps practices, particularly in the
training and
inference stages of machine learning models.

Hands-on experience with
GPUs and frameworks like
TensorFlow or
PyTorch.

Experience using the
HuggingFace model repository and associated Python libraries.

Proficiency in
MLflow for model tracking and lifecycle management.

DevOps:

Solid experience in
Kubernetes and
Docker image development.

Strong proficiency in
FastAPI microservice development and
RESTful API integration.

Familiarity with
Git-based version control systems.

Programming:

5+ years of programming experience

with
Python (versions 3.9+), adhering to
PEP-8 or higher coding standards.

Familiarity with
Pydantic for data validation, with knowledge of version 2.0 being a plus.

Experience with
Visual Studio (preferred) or
Eclipse for software development.

Keywords: artificial intelligence machine learning javascript database New Jersey
MLOps Solutions Developer position at New Jersey, NJ location
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Mon Sep 16 21:02:00 UTC 2024

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