Machine Learning Engineer

Wichita FULL TIME $95,000 - $120,000 / Year
($7,917 - $10,000 / Month)

Job Description

As a Machine Learning Engineer at Innovative AI Solutions Inc., you will leverage your expertise to develop robust machine learning models that drive decision-making and automate processes. Your role will involve collaborating with data scientists and analysts to implement innovative solutions that enhance our clients' operational efficiency.

Responsibilities

  • Develop new algorithms for data processing and machine learning applications.
  • Partner with domain experts to integrate AI solutions into the existing tech stack.
  • Lead initiatives to improve machine learning workflows and methodologies.
  • Engage in peer mentorship and foster a culture of continuous learning within the team.
  • Contribute to patent filings for innovative algorithms when applicable.

Requirements

Education
  • Bachelor's degree in Statistics, Mathematics, or related field
  • Master's degree in Data Science or Artificial Intelligence is a plus
Experience
  • 3+ years of experience in machine learning and AI projects
Technical Skills
  • R
  • TensorFlow
Soft Skills
  • Adaptability
  • Interpersonal Skills
Certifications
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Previous Experience in a Start-up Environment: Adaptable and with a mindset for innovation in fast-paced settings.
  • Blockchain Knowledge: Understanding of how blockchain can be integrated with AI applications.

Benefits

  • Comprehensive health plans with dental and vision
  • 401(k) with a generous company match
  • Flexible work arrangements
  • Access to training and certifications for career growth

Company Culture

  • Continuous Learning: We support ongoing education and professional growth, offering resources for skill enhancement.
  • Community Engagement: Encouraging our team to engage with the community through various initiatives and volunteering.
  • Work-Life Balance: We prioritize the well-being of our employees, promoting a healthy work-life balance.
Status: Closed