AI Enginner

Remote • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • Artificial Intelligence
  • Machine Learning (ML)
  • Pandas
  • NumPy
  • Machine Learning Operations (ML Ops)

Summary

Role Overview

An AI Engineer (Artificial Intelligence Engineer) is responsible for designing, developing, and deploying intelligent systems that can learn, reason, and make decisions. This role involves working with machine learning models, data pipelines, and AI frameworks to build scalable, real-world applications.


Key Responsibilities

  • Design and develop machine learning and AI models for various use cases
  • Collect, preprocess, and analyze large datasets
  • Train, test, and optimize machine learning models
  • Deploy AI models into production environments
  • Build and maintain data pipelines for AI workflows
  • Integrate AI solutions with applications and APIs
  • Monitor model performance and retrain models when required
  • Collaborate with data scientists, engineers, and product teams
  • Implement AI solutions following best practices for scalability and performance
  • Document AI models, processes, and system architecture

Required Skills

  • Strong knowledge of Python and AI/ML libraries
  • Understanding of machine learning algorithms and concepts
  • Familiarity with data preprocessing and feature engineering
  • Knowledge of deep learning frameworks (TensorFlow, PyTorch)
  • Experience with data handling libraries (pandas, NumPy)
  • Understanding of statistics and probability
  • Problem-solving and analytical thinking skills

Preferred Skills

  • Experience with Natural Language Processing (NLP) or Computer Vision
  • Familiarity with Generative AI models and tools
  • Knowledge of MLOps practices
  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
  • Understanding of model deployment tools (Docker, Kubernetes)
  • Exposure to big data technologies (Spark, Hadoop)
  • Familiarity with REST APIs

Tools & Technologies

  • Languages: Python, R
  • Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Libraries: pandas, NumPy
  • Tools: Jupyter Notebook, VS Code
  • Platforms: AWS, Azure, Google Cloud
  • Others: Docker, Kubernetes
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90942382
  • Position Id: AI Enginner-27-04-26
  • Posted 5 hours ago
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