Posted 2w ago

Artificial Intelligence Engineer

@ Marion Counseling Services
United States
$110k-$145k/yrRemoteFull Time
Responsibilities:design features, train models, deploy models
Requirements Summary:3+ years AI/ML engineering; Python; ML frameworks; data processing; API integration; problem-solving.
Technical Tools Mentioned:Python, TensorFlow, PyTorch, scikit-learn, APIs, Cloud platforms (AWS/Azure/GCP), NLP
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Job Description

Marion Counseling Services provides professional mental health support to individuals and families. We are investing in technology to enhance accessibility, improve client outcomes, and streamline internal operations.

 

Role Overview
We are seeking an Artificial Intelligence Engineer to design and implement AI-driven solutions that support client engagement, operational efficiency, and data insights. This role will focus on building and deploying machine learning models and integrating them into our digital platforms.

 

Key Responsibilities

  • Develop, train, and deploy machine learning models
  • Design AI-driven features such as chat assistants, recommendation systems, or analytics tools
  • Work with structured and unstructured data to extract insights
  • Collaborate with developers and stakeholders to integrate AI solutions into applications
  • Monitor model performance and improve accuracy over time
  • Ensure data privacy, security, and ethical AI practices

 

Required Qualifications

  • 3+ years of experience in AI/ML engineering or related field
  • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with data processing and model deployment
  • Understanding of APIs and system integration
  • Strong problem-solving and analytical skills

 

Preferred Qualifications

  • Experience in healthcare or mental health technology
  • Familiarity with natural language processing (NLP)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of data privacy standards and compliance

 

Benefits

  • Competitive salary
  • Flexible remote work environment
  • Paid time off and holidays
  • Opportunities for professional development