Machine Learning Operations Engineer

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: ₹2,000,000.00 - ₹2,800,000.00 per year

Application Question(s):

• Immediate joiner only

Experience:

• Machine Learning Operations: 5 years (Required)

Work Location: Remote