AI/ML Engineer - Hybrid

  • Scottsdale, AZ
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 8 Month(s)

Skills

Python
SQL
Docker
Kubernetes
FastAPI
Flask
MLOps
Machine Learning
LLM's
LangChain
orchestrator
Vector DB
GCP
Google AutoML
Vertex AI
Build tools
data pipelines
data ingestion
processing
storage
Vertex Pipelines
Kubeflow
end-to-end Machine Learning workflows
patterns
Data Science
ML packages
frameworks
containerization technologies
CI/CD practices
TensorFlow
Caffe2
PyTorch
Spark ML
Gen AI
Gemini
OpenAI
Claud
open-source Large Language Models
LLMs
AI/ML products
neural networks
AI/ML Apps
RAG
Supervised Tuning techniques
distributed systems
public cloud provider

Job Details

Title: AI/ML Engineer - Hybrid


Mandatory skills:


Python, SQL, Docker, Kubernetes,
FastAPI, Flask, MLOps, Machine Learning, LLM's, LangChain, orchestrator,
Vector DB, Google Cloud Platform, Google AutoML, Vertex AI, Build tools,
MLOps, data pipelines, data ingestion, processing, storage,
Vertex Pipelines, Kubeflow,
end-to-end Machine Learning workflows, patterns,
Data Science, ML packages, frameworks, containerization technologies, Docker, Kubernetes, CI/CD practices,
TensorFlow, Caffe2, PyTorch, Spark ML,
Gen AI, Gemini, OpenAI, Claud, open-source Large Language Models, LLMs,
AI/ML products, neural networks, AI/ML Apps, Flask, FastAPI,
RAG, Supervised Tuning techniques, distributed systems, public cloud provider, Google Cloud Platform


Description:


Responsibilities:
Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.
Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
Experience building AI/ML products using technologies such as LLMs, neural networks and others.
Experience in building AI/ML Apps using Flask or FastAPI
Experience with RAG and Supervised Tuning techniques.
Strong distributed systems skills and knowledge.
Development experience of at least one public cloud provider, Preferably Google Cloud Platform.
Excellent analytical, written, and verbal communication skills.

Tech Stack - Python, SQL, Docker & Kubernetes, FastAPI, Flask, MLOps, Machine Learning, LLM's, LangChain or similar orchestrator, Vector DB or similar, Google Cloud Platform, Google AutoML, Vertex AI & Build tools

Machine Learning (P4 - Expert)


VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008

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About VIVA USA INC