C

AI/ML Engineer

crossing hurdles • United State
Remote
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AI Summary

AI/ML Engineer responsible for designing, developing, and deploying machine learning models to address complex business challenges. Collaborate with cross-functional teams to gather requirements and deliver impactful AI solutions. Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.

Key Highlights
Design and deploy machine learning models
Collaborate with cross-functional teams
Utilize Python and relevant libraries
Key Responsibilities
Design, develop, and deploy machine learning models to address complex business challenges.
Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions.
Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.
Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models.
Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Technical Skills Required
Python Machine Learning
Benefits & Perks
$30-$130/hour
Remote work

Job Description


Position: AI/ML Engineer

Type: Contract

Compensation: $30 - $130/hour

Location: Remote

Commitment: 10-40 hrs/week


Role Responsibilities

  • Design, develop, and deploy machine learning models to address complex business challenges.
  • Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions.
  • Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
  • Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.
  • Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models.
  • Document processes, methodologies, and model decisions to ensure transparency and reproducibility.


Requirements

  • Have expert-level proficiency in machine learning techniques and algorithms.
  • Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn.
  • Have hands-on experience designing and managing ETL workflows in production environments.
  • Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
  • Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings.


Application Process

  • Easy Apply on LinkedIn
  • Check email for next steps
  • Participate in resume evaluation & interview stage

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