AI Machine Learning R&D Engineer - Remote

Overview

The AI Machine Learning Research & Development Engineer role is responsible for the design, development, and implementation of machine learning solutions to serve our organization, ensuring projects meet technical requirements from conception to deployment.

In Short

• Design and develop machine learning models and algorithms.
• Take ownership of key projects from definition to deployment.
• Evaluate and select appropriate machine-learning techniques.
• Implement and optimize machine learning models using Python and TensorFlow.
• Deploy models using Docker and AWS technologies.
• Perform statistical analysis and fine-tuning.
• Document and communicate ML experimentation and deployment.
• Collaborate effectively with various teams and stakeholders.
• Commit to continuous learning and improvement in the field.
• Adhere to ethical AI practices in model development.

Requirements

• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus.
• Minimum 3+ years experience as a Machine Learning Engineer.
• Ability to write robust, production-grade code in Python.
• Strong knowledge of machine learning techniques and algorithms.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience with natural language processing (NLP) techniques.
• Strong communication and collaboration skills.
• Experience with AWS technologies including EC2, S3, and Sagemaker.
• Experience with Docker and ML management technologies.

Benefits

• Opportunity to work on innovative projects in AI and ML.
• Collaborative and supportive work environment.
• Continuous learning and professional development opportunities.
• Work with a diverse team across global locations.
• Competitive salary and benefits package.