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Junior AI/ML Engineer

  • On-site, Hybrid
    • UNITED STATES, Alaska, United States
  • $30 - $40 per hour
  • Information Technology

Job description

Job Description:

We are seeking a motivated and detail-oriented Junior AI/ML Engineer with foundational experience in Machine Learning, Data Science, or AI model development. The ideal candidate will support senior engineers in building, testing, and optimizing AI/ML models, performing data preprocessing, and contributing to AI-driven solutions. This is an excellent opportunity for individuals at the beginning of their AI/ML career who are eager to learn, grow, and contribute to real-world projects.

Location: Open to Relocation across the United States

Responsibilities:

  • Assist in developing and testing machine learning models using Python and ML frameworks.

  • Clean, preprocess, and analyze structured and unstructured datasets.

  • Support in building predictive models and evaluating model performance.

  • Collaborate with senior engineers and data scientists on AI initiatives.

  • Help automate processes, run experiments, and prepare technical documentation.

  • Work with cloud platforms and version control tools under guidance.

Job requirements

Required Skills:

  • Basic knowledge of Python, NumPy, Pandas, Scikit-learn, or similar ML libraries.

  • Strong understanding of machine learning concepts and data structures.

  • Familiarity with Jupyter notebooks, Git/GitHub, and basic cloud tools (AWS/GCP/Azure).

  • Good analytical thinking and problem-solving skills.

  • Strong willingness to learn and adapt in a fast-paced environment.

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.

  • Bootcamp or internship experience in AI/ML is a plus.

Notes (Very Important):

  • We are specifically looking for candidates with 6 months to 1 year of experience (including internships or projects).

  • Freshers and entry-level candidates are highly encouraged to apply.

  • Only U.S. Citizens are eligible for this role.

  • Candidate must be comfortable working on W2 employment.

  • Candidate must be open and willing to relocate anywhere in the United States if selected for the position.

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