AI Engineer

duvari group
Chesterfield, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 200K

Job location

Chesterfield, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Data analysis
Cloud Computing
Data Infrastructure
Python
Machine Learning
Natural Language Processing
Recommender Systems
TensorFlow
Systems Integration
Unstructured Data
Software Organization
Data Processing
Model Validation
Generative AI
Information Technology
Machine Learning Operations

Job description

  • Design, develop, and deploy AI and machine learning solutions that address business challenges and improve performance.
  • Build and maintain data pipelines and supporting infrastructure required for AI initiatives.
  • Integrate AI capabilities into existing applications, platforms, and workflows.
  • Partner with cross-functional teams to identify, evaluate, and prioritize AI use cases.
  • Monitor, optimize, and maintain model performance, scalability, and reliability.
  • Research emerging technologies and recommend innovative approaches to solving business problems.
  • Document technical solutions, processes, and implementation best practices.
  • Support ongoing enhancement and maintenance of deployed AI solutions.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered.
  • 2+ years of experience developing machine learning or AI-based solutions.
  • Proficiency in Python and experience working with modern AI/ML frameworks and libraries.
  • Experience with data processing, data analysis, and working with structured and unstructured datasets.
  • Understanding of APIs, system integrations, and software development best practices.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to communicate technical concepts effectively to both technical and non-technical audiences., * Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions.
  • Familiarity with cloud-based environments and modern data platforms.
  • Understanding of model deployment, monitoring, and lifecycle management practices.
  • Experience collaborating within agile software development environments.

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