AI / ML Engineer

Overview

On Site
$100,000 - $104,000
Full Time

Skills

ML Engineer

Job Details

AI/ML Engineer

We are seeking a talented and innovative AI/ML Engineer to join our growing team. In this role, you will design, build, and deploy machine learning models and AI-driven systems that drive impactful insights and real-world outcomes. You will work closely with data scientists, software engineers, and product teams to operationalize intelligent solutions using modern cloud-based infrastructure, especially on Google Cloud Platform (Google Cloud Platform).

Key Responsibilities:

  • Design, develop, and implement machine learning algorithms and predictive models.
  • Build and deploy scalable ML solutions using Google Cloud AI/ML tools, including Vertex AI, Big Query ML, AI Platform, and Dataflow.
  • Analyze large, complex datasets to extract insights and inform model development.
  • Develop and maintain production-grade ML pipelines on Google Cloud Platform (data ingestion, preprocessing, model training, serving).
  • Collaborate with cross-functional teams to understand business needs and translate them into AI/ML solutions.
  • Monitor and improve model performance through continuous evaluation and retraining strategies.
  • Ensure responsible and ethical AI practices including bias detection, model explainability, and compliance.
  • Stay up-to-date with the latest trends in cloud-native AI, machine learning, and data engineering.

Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of hands-on experience in machine learning and AI development.
  • Strong experience working with Google Cloud Platform, especially with Vertex AI, BigQuery, Cloud Functions, and Cloud Storage.
  • Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, and XGBoost.
  • Familiarity with data wrangling tools (e.g., pandas, NumPy) and SQL.
  • Understanding of ML model evaluation, versioning, and deployment best practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.