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AI/ML Engineer

Aivra Health LLCCalifornia City, CA🇺🇸United StatesPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Description

We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven applications. The ideal candidate should have strong programming skills, experience with ML frameworks, and knowledge of cloud-based AI solutions.

Responsibilities

  • Build, train, and deploy machine learning models.
  • Develop AI-driven applications and predictive models.
  • Work with structured and unstructured datasets.
  • Perform data preprocessing and feature engineering.
  • Optimize model performance and scalability.
  • Deploy ML models using cloud platforms.
  • Collaborate with data scientists and software engineers.
  • Stay updated with the latest AI technologies.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow or PyTorch
  • Scikit-learn
  • Pandas, NumPy
  • SQL
  • Data Analysis
  • NLP or Computer Vision (Preferred)
  • AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI
  • Git

Preferred Qualifications

  • Bachelor''s or Master''s degree in Computer Science, AI, Data Science, or related field.
  • Experience with Generative AI or LLMs is a plus.
  • Knowledge of MLOps tools is preferred.
  • Strong analytical and problem-solving skills.

Keywords

AI Engineer, Machine Learning Engineer, Deep Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision, Scikit-learn, Pandas, NumPy, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps

Skills (Comma Separated)

Python, Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, SQL, NLP, Computer Vision, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps, Git, Data Analysis

Skills

SQL
AWS
MLOps
Machine Learning
NLP
NumPy
Scikit-learn
Azure
Computer Vision
Deep Learning
Generative AI
Git
Google Cloud
LLM
Pandas
PyTorch
Python
TensorFlow

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