Design and implement large-scale distributed systems, leveraging cloud technologies and machine learning frameworks. Develop automated deployment frameworks and software lifecycle modules. Collaborate with engineering and architecture teams to optimize system performance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: MLOps Enginer 3 (India)
Onsite vs Remote: 100% Remote (candidates need to be based in India)
Duration: 1250 hours (6+ Months)
Interview method: 2 Virtual
Client location: Raleigh, NC USA 27601 (Will work US EST hours)
Note:
- Candidates must have good English communication
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Job Description
- BTech in Computer Science (or equivalent)
- Minimum 5+ years of meaningful experience in industry
- Experience in building large-scale distributed systems
- Experience with cloud technologies, Docker, Containerization
- Experience with AWS or Microsoft Azure
- Advanced skills in building automated deployment frameworks and software lifecycle modules.
- Understanding of state-of-the-art Machine Learning techniques, Deep Learning, Recommendations and Computer Vision
- Experience in machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe
- Excellent proficiency in Python, Java, Shell, Perl, or Ruby.
- Experience in micro-services, REST APIs, and databases
- Bash scripting
- Experience with CI/CD and version control tools such as Jenkins, Git, and Perforce.
- Ability to optimize Linux systems and GPUs for high-scale architecture design
- Strong communication abilities to work effectively across engineering and architecture teams.
- Exposure to ROSA (Red Hat OpenShift Service on AWS) is considered a distinct advantage.
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