
ML OPs Engineer
12 hours ago
Role: ML Engineer / ML Ops Engineer
Location: Remote
Mode: Onsite
Type: Permanent
Job Description:
Task Description:
- University Degree in Computer Science, Information Technology, or related field
- 5+ years of experience in the Machine Learning Operations role
- Design the data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale
- Take offline models data scientists build and turn them into a real machine learning production system
- Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development, with an emphasis on auditability, versioning, and data security
- Facilitate the development and deployment of proof-of-concept machine learning systems
- Communicate with clients to build requirements and track progress
- Strong analytic skills related to working with structured, semi-structured and unstructured datasets
- Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction
Job Type: Permanent
Pay: ₹2,000, ₹2,800,000.00 per year
Application Question(s):
- Immediate joiner only
Experience:
- Machine Learning Operations: 5 years (Required)
Work Location: Remote
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