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AI/ML Engineer

Aivra Health LLCSan Francisco, CA🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid AI/ML Engineer role offers a fantastic opportunity to develop cutting-edge AI solutions within a reputable health tech company, perfect for early-career professionals eager to expand their skills in model development and deployment. You'll collaborate with a dynamic team on impactful projects, honing your expertise in Python, deep learning, and MLOps.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
1 week ago
DockerSQLAWSMLOpsMachine LearningNLPNumPyScikit-learnAzureComputer VisionDeep LearningGenerative AIGitGoogle CloudHugging FacePandasPyTorchPythonRESTTensorFlow

Job Description

AI/ML Engineer

About the Role

We are looking for an AI/ML Engineer to develop and deploy machine learning and AI solutions for real-world applications. This role is open to talented Entry Level Candidates and early-career professionals with strong technical skills and hands-on AI/ML experience.

Responsibilities

  • Design, develop, train, and evaluate machine learning models.
  • Work with structured and unstructured datasets.
  • Build and optimize AI/ML pipelines.
  • Develop and integrate ML models into production applications.
  • Perform data preprocessing, feature engineering, and model optimization.
  • Collaborate with software engineers, data scientists, and product teams.
  • Monitor model performance and troubleshoot ML systems.
  • Write clean, scalable, and maintainable Python code.
  • Research and implement modern AI/ML techniques.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • NumPy & Pandas
  • Scikit-learn
  • SQL
  • Data Structures & Algorithms
  • Git / GitHub
  • ML model training, evaluation, and optimization
  • Strong problem-solving skills

Preferred Skills

  • PyTorch / TensorFlow
  • NLP / Computer Vision
  • Generative AI / LLMs
  • Hugging Face
  • LangChain
  • RAG
  • OpenAI APIs
  • AWS / Azure / Google Cloud Platform
  • Docker
  • MLOps
  • REST APIs

Education

Master's degree in: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Technology, or a related field.

Candidate Requirements

  • s and candidates with 1-3 years of experience can apply.
  • Currently living in the USA.
  • Candidates with relevant US work authorization, including OPT/CPT, STEM OPT, H-1B, or other eligible authorization.
  • Candidates with internships, projects, academic experience, or professional experience in AI/ML.
  • Open to Work / actively seeking opportunities.

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