Remote Machine Learning Ops Engineer Jobs

About the role:

We, at Turing, are looking for highly-skilled remote Machine Learning Ops engineers who will be responsible for building the most optimized applications and product features applying high-end ML modeling techniques. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

Responsibilities:

• Build back-end infrastructure, data pipelines, and/or machine learning models
• Build working ranking models and automate modeling pipelines
• Collaborate with the data engineers and data scientists on new feature development
• Design, build and optimize applications containerization and orchestration
• Participate in automating applications and infrastructure deployments
• Develop MLOp pipelines to support development, experimentation, CI/CD, verification and validation, and monitoring of AI/ML models
• Evaluate and learn the latest packages and frameworks in the ML ecosystem

Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years experience working as an ML Ops engineer (rare exceptions for highly skilled developers)
• Extensive experience in machine learning algorithms, especially NLP, and statistics
• Strong software engineering skills in complex, multi-language systems, including Python
• Comfort working with Linux administration
• Experience working with cloud computing and database systems
• Knowledge of ​​data structures, algorithms, programming languages, distributed systems, and information retrieval
• Understanding of developing and maintaining ML systems built with open source tools
• Hands-on expertise in machine learning methodology and best practices
• Good knowledge of deep learning approaches and modeling frameworks like PyTorch, Tensorflow, Keras, etc.
• Fluency in the English language for effective communication
• Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Key benefits:

• Elite U.S. Jobs
• Long-term, full-time opportunities
• Flexibility to work from anywhere in the world
• Better compensation
• Career growth
• Exclusive Developer Community
• Upskilling workshops
• Career development sessions
• Networking meetups
• Referral programs