Job Description
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
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
💡 Quick Summary
Seeking a career-building opportunity? The Remote Machine Learning Ops Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Ajmer offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
