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Junior Data / ML / AI Engineer

  • On-site, Remote, Hybrid
    • Albany, New York, United States
    • Seattle, Washington, United States
    +1 more
  • Information Technology

Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning.

Experience with version control (Git) and CI/CD pipelines.

Knowledge of Docker/Kubernetes for model deployment.

Job description

Job Title: Junior Data / ML / AI Engineer
Location: NJ, TX, CA
Employment Type: Full-Time, W2 only (US Citizens)
Experience: 6 months – 2 years

Job Summary:

We are seeking motivated and passionate Junior Data / Machine Learning / AI Engineers to join our growing team. This is an excellent opportunity for early-career professionals to work on cutting-edge AI/ML solutions and data-driven applications in a collaborative environment.

Responsibilities:

  • Assist in designing, developing, and deploying ML/AI models for real-world business problems.

  • Support data preparation, cleaning, and feature engineering to build effective datasets.

  • Work with large structured and unstructured datasets, ensuring data quality and integrity.

  • Collaborate with senior engineers and data scientists on end-to-end ML pipelines.

  • Automate model training, testing, and deployment workflows.

  • Contribute to documentation, reporting, and performance analysis of models.

Job requirements

Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field.

  • 6 months – 2 years of hands-on experience in Data Engineering, Machine Learning, or AI-related projects (academic, internships, or professional).

  • Basic knowledge of Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).

  • Understanding of cloud environments (AWS, Azure, or GCP) is a plus.

  • Strong problem-solving, analytical, and communication skills.

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