AI & Machine Learning Operations Lead

Do you excel at providing technical guidance and mentorship? Do you have a background Machine Learning Ops? We are looking for a Lead Developer to collaborate remotely with our client based in Kansas. You should be available to work during Eastern Standard Time (EST) hours for this full-time opportunity. Apply today!

BetterPros unlocks human potential by offering competitive compensation, flexibility, constant learning and growth, and the opportunity to work anywhere you want with one of our +130 active clients across the United States.

What you’ll do:

• Design, train, and deploy machine learning models for natural language processing (NLP) tasks like text translation, language detection, and text-to-speech using AWS services (Amazon Translate, Polly, SageMaker).
• Develop and maintain scalable AWS infrastructure for real-time and batch translation services, utilizing AWS tools (Lambda, EC2, ECS, S3, SageMaker) for model deployment and management.
• Build and manage data pipelines for multilingual dataset collection, preprocessing, and translation using AWS Glue, Kinesis, and other tools.
• Seamlessly integrate translation models with AWS-based applications, web services, and APIs, ensuring high performance and availability.
• Regularly monitor and optimize translation model performance, accuracy, and latency.
• Ensure translation services comply with data security, privacy regulations, and handle sensitive content appropriately.

What you must have:

• 5+ years working with AWS cloud services, particularly in AI/ML and NLP for translation tasks.
• Bachelor’s degree in Computer Science, Engineering, or related fields
• Deep knowledge of AWS AI/ML tools like SageMaker, Translate, Polly, and Comprehend.
• Strong programming skills in React, Python, Rust, Java, or similar, with experience in NLP libraries (PyTorch, NLTK, SpaCy, Hugging Face Transformers).
• AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect (preferred).
• Proven collaboration skills and experience leading AI/ML projects.
• Excellent communication skills, particularly in distilling technical requirements from business vision.
• Advanced written and spoken English.