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Entry Level Hire Remote Technical Support - AI and Data Science Engineer and Support 2026

5 days ago

PayCompetitive
LocationMorris/Minnesota
Employment typeFull-Time

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  • Job Description

      Req#: 73386
      Employer Industry: Technology and Consulting

      Why consider this job opportunity:
      - Opportunity for career advancement and growth within a leading technology organization
      - Work in a collaborative and innovation-driven environment
      - Strong support for continuous learning and professional development
      - Engage in meaningful projects that contribute to real-world applications of AI and data science
      - Be part of a diverse and inclusive workplace that values different perspectives

      What to Expect (Job Responsibilities):
      - Contribute to the design, development, and implementation of AI solutions
      - Collect, clean, analyze, and visualize data to support business decisions
      - Collaborate with Senior Developers to build predictive models and generate insights
      - Work with both structured and unstructured data, including preprocessing and transformation
      - Apply software engineering principles and debugging practices in development tasks

      What is Required (Qualifications):
      - High School Diploma or GED
      - Proficiency in Python and experience with libraries such as NumPy, pandas, and scikit-learn
      - Solid understanding of machine learning algorithms and model evaluation techniques
      - Experience with Git and collaborative development workflows
      - Strong analytical and problem-solving skills

      How to Stand Out (Preferred Qualifications):
      - Bachelor's Degree in a relevant field
      - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras)
      - Familiarity with model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP)
      - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines)
      - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation

      #Technology #AI #DataScience #CareerOpportunity #Innovation #Collaboration

      We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
      We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
  • About the company

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