Machine Learning Engineer - Computer Vision (Remote)

Role Overview

We are seeking a skilled Python Machine Learning Engineer specializing in computer vision to spearhead the design, creation, and delivery of sophisticated machine learning systems. This role combines impactful individual contributions with technical leadership responsibilities including mentoring and aligning machine learning projects with broader business objectives.

Key Responsibilities

• Manage development of comprehensive machine learning solutions encompassing data pipelines, model architecture, deployment, and ongoing monitoring.
• Convert business requirements into effective machine learning frameworks that encompass business logic and context.
• Work collaboratively with product teams, engineering groups, and stakeholders to clearly define problems and determine success criteria.
• Assess and enhance model performance, scalability, and accuracy by leveraging cutting-edge techniques.
• Keep abreast of latest developments in AI and machine learning to integrate relevant advancements into solutions.

Required Qualifications

• Possess a bachelor’s or master’s degree in computer science, artificial intelligence, machine learning, statistics, or a related quantitative discipline.
• Have a minimum of four years’ practical experience in data science and machine learning development.
• Demonstrate proficiency in supervised and unsupervised learning, forecasting with time-series data, and natural language processing methods.
• Expert knowledge of Python programming and essential libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.
• Strong grasp of data preprocessing techniques, feature engineering, and model parameter tuning.

Opportunity Details

This position offers the chance to collaborate with a leading global AI research organization, contributing directly to the creation of proprietary intelligent systems that achieve tangible impacts across various industries.

Equal Opportunity Information

The employer is committed to hiring based solely on skills and qualifications without discrimination based on background or prior experience. All applicants are evaluated on their demonstrated technical proficiency.