AI ML Lead Engineer

Rita Doshi

MOTOR · AI Manager

Benefits

Health Insurance

Job description

esign, build, and deploy artificial intelligence systems and machine learning models, bridging the gap between data science and software engineering. They create algorithms to automate tasks and predict outcomes, specializing in areas like natural language processing, computer vision, and predictive analytics.

Key Responsibilities

Model Development: Designing, training, testing, and deploying machine learning models.
Data Pipelines: Building, cleaning, and managing large datasets for training AI.
System Integration: Deploying models into production environments and creating API-driven applications.
Optimization: Monitoring and tuning model performance for efficiency and accuracy.

Required Skills

Programming: Strong proficiency in Python, Java, or C++, often with experience in SQL.
ML Frameworks: Expertise in tools like TensorFlow, PyTorch, or Scikit-learn.
Mathematics & Stats: Strong foundation in probability, statistics, and linear algebra.
Cloud Platforms: Experience with AWS, Google Cloud Platform (GCP), or Azure for deploying models.

More information

Minimum education level

Master's

Experience level

Senior (5-7 years)

Job skills

Machine Learning Algorithms

Deep Learning Frameworks

Data Preprocessing

Model Deployment

Python Programming

Statistical Analysis

Cloud Computing

Company overview

MOTOR

IT Services and IT Consulting·201-1,000 employees

MOTOR Information Systems, one of the world’s premier suppliers of automotive data, has been trusted by the industry to provide accurate, thorough and timely information since 1903. Though our products and services have continued evolving to best meet our customers’ needs, our mission has remained steady: to help businesses run more efficiently, effectively and profitably. MOTOR builds close partnerships across the industry, from the nation’s leading fleets to single-location repair shops, matching comprehensive information with each client's needs.