Senior AI/ML Engineer - Deploy ML in Production

TalentHop; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

TalentHop is seeking an AI/ML Engineer to design, develop, and deploy machine learning models that power AI initiatives across the organization. You will train models, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to ship scalable AI solutions.

The role requires 4+ years of experience, strong Python skills, and hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus cloud familiarity (AWS/Azure/GCP).

Qualifications

• 4+ years of AI/ML experience.
• Proficient in Python.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of SQL and data processing.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design and develop machine learning models.
• Train and deploy AI/ML models into production environments.
• Perform data preprocessing and feature engineering.
• Evaluate model performance and optimize existing solutions.
• Build AI-driven applications using Python and relevant frameworks.
• Utilize TensorFlow, PyTorch, and Scikit-learn for model development.
• Collaborate with cross-functional teams to deliver technology solutions.
• Explore advancements in Generative AI, NLP, and Large Language Models.

Skills

Python

SQL

NLP

Generative AI

Large Language Models

Data preprocessing

Analytical thinking

Problem solving

Cloud computing

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

TalentHop is seeking an AI/ML Engineer to design, develop, and deploy machine learning models that power AI initiatives across the organization. You will train models, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to ship scalable AI solutions.

The role requires 4+ years of experience, strong Python skills, and hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus cloud familiarity (AWS/Azure/GCP).