Machine Learning Engineer

Job Details

• Job Title: Machine Learning Engineer
• Location: Cincinnati, OH
• Duration: 6 months
• Experience Required: 8–10 years

Role Overview

• Machine Learning Engineer with strong experience in:
  • Snowpark ML
  • Databricks
  • MLflow
• Experience designing, developing, deploying, and optimizing machine learning and AI solutions.
• Ability to solve complex business challenges using machine learning and AI technologies.
• Strong programming and data skills in:
  • Python
  • SQL
• Experience with machine learning frameworks:
  • TensorFlow
  • PyTorch
  • Scikit-learn
• Experience working with cloud platforms:
  • Azure
  • AWS
  • GCP

Key Skills

• Machine Learning
• Snowpark ML
• Databricks
• MLflow
• Python
• SQL
• TensorFlow
• PyTorch
• Scikit-learn
• Azure
• AWS
• GCP

Roles & Responsibilities

• Design and develop machine learning and AI solutions.
• Build end-to-end machine learning pipelines.
• Perform feature engineering and data preparation.
• Train and optimize machine learning models.
• Deploy models into production environments.
• Monitor model performance and improve model accuracy and efficiency.
• Develop scalable and production-ready ML solutions.
• Optimize machine learning applications for performance and reliability.
• Collaborate with cross-functional teams to understand business requirements.
• Deliver data-driven solutions that generate business value.
• Support data-driven decision-making through AI and machine learning.

Role / Skills

• Role: ML Engineer
• Essential Skill: Machine Learning Engineer
• Experience: 8–10 years
• Primary Skill: Digital – Machine Learning
• Specialized Technologies:
  • Snowpark ML
  • Databricks
  • MLflow
• Cloud: Azure / AWS / GCP