Entry-Level / Mid-Level AI Engineer

  • New York, NY
  • Posted 21 hours ago | Updated 21 hours ago

Overview

On Site
$50 - $60
Contract - W2
Contract - 12 Month(s)

Skills

Amazon Web Services
Apache Kafka
Apache Spark
Artificial Intelligence
Cloud Computing
Docker
Kubernetes
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
NumPy
PyTorch
Python
TensorFlow
scikit-learn
Pandas

Job Details

< data-start="604" data-end="626">Job Summary</>

We re looking for a hands-on AI Engineer with a solid foundation in Python, data engineering, and cloud infrastructure to help us build and scale intelligent systems across our product lines. This is an ideal opportunity for someone early in their AI career (3 5 years) who wants to grow in a collaborative, fast-paced environment.


< data-start="981" data-end="1004">What You'll Do</>
  • Build and maintain data pipelines that support AI/ML models

  • Collaborate with data scientists and software engineers to deploy AI solutions into production

  • Develop tools and APIs to serve machine learning models at scale

  • Work with structured and unstructured datasets to drive feature engineering and preprocessing workflows

  • Monitor model performance and help iterate on deployment pipelines in the cloud (AWS, Google Cloud Platform, or Azure)


< data-start="1446" data-end="1477">What We re Looking For</>
  • 3 5 years of professional experience in a software engineering or data/AI engineering role

  • Strong proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)

  • Hands-on experience with data processing frameworks (e.g., Airflow, Spark, Kafka is a plus)

  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)

  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)

  • Ability to write clean, testable, and maintainable code in a team setting

  • Strong problem-solving skills and a passion for learning new technologies


< data-start="2099" data-end="2120">Bonus Points</>
  • Exposure to containerization tools (Docker, Kubernetes)

  • Experience with ML model deployment or MLOps practices

  • Contributions to open-source projects or AI-related research


< data-start="2305" data-end="2325">Why Join Us</>
  • Opportunity to work on real AI production systems without needing 10+ years of experience

  • A collaborative, low-ego team that values mentorship and learning

  • Flexible hybrid work environment with strong support for career development


Sound like you? Let s talk. Apply now and start your next chapter in AI engineering.

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