Senior AIML Engineer Remote

About

We are looking for a Machine Learning Engineer to contribute to the development and optimization of machine learning models and data pipelines. In this role you will focus on implementing solutions for data processing model training and deployment while working closely with a team of engineers.

Responsibilities

• Collaborate with engineers to develop data pipelines and architectures.
• Support tasks related to data collection storage processing and analysis.
• Write code for model training testing and deployment.
• Monitor and troubleshoot machine learning models.
• Perform requirements analysis and document solutions.
• Work with largescale data sets and manage data flow between systems.
• Organize and process large batches of text and geometric data.
• Communicate findings through data analysis and visuals.

Minimum Qualifications

• MS in Machine Learning Artificial Intelligence Mathematics Statistics Computer Science or a related field.
• 4 to 5 years of experience in machine learning engineering or a related field.
• Expertise in training deep neural nets such as CNNs and transformers.
• Proficiency in at least one deep learning framework (e.g. PyTorch TensorFlow).
• Strong fundamentals in 3D geometry and geometric computer vision.
• Exposure to Cloud Computing in AWS and SageMaker Studio.
• Understanding of fundamental CS algorithms and their scaling behaviors.
• Coding skills in procedural and dataanalyticsoriented languages (e.g. Python).
• Ability to translate theoretical concepts into practical solutions.

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