AI and Machine Learning Engineer

7 days ago


Columbus, Ohio, United States Everest Technologies Full time

Job Description:

We are seeking a highly skilled AI and Machine Learning Engineer to join our team at Everest Technologies. In this role, you will be responsible for developing and implementing artificial intelligence and machine learning models for various applications and use cases.

Responsibilities:

  • Collaborate with the AI and Machine Learning team to explore and experiment with new algorithms and techniques.
  • Support data collection, preprocessing, and feature engineering tasks to develop high-quality AI and ML models.
  • Participate in model training, tuning, and evaluation activities to ensure optimal model performance.
  • Contribute to the design and implementation of AI and ML solutions for client projects, working closely with cross-functional teams.
  • Stay updated with the latest developments in AI and ML research and technology, applying this knowledge to drive innovation and improvement within our organization.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field (in progress or completed).
  • Strong understanding of artificial intelligence and machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning.
  • Proficiency in programming languages such as Python, R, or Java, with experience in popular libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.
  • Previous experience with AI and ML projects or coursework is a plus.

What We Offer:

  • A competitive salary of $120,000 per year, based on your qualifications and experience.
  • Ongoing training and professional development opportunities to enhance your skills and knowledge in AI and ML.
  • A dynamic and supportive work environment that fosters collaboration and innovation.
  • The opportunity to work on challenging and engaging projects, contributing to the growth and success of our organization.


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