MLOps Engineer

Role: ML Engineer / ML Ops Engineer

Location : Thoraipakkam, Chennai (Initially for 2 weeks and later on remote)

Role Type: Permanent

NOTE: Looking for someone who is available to join within 10-15 days.

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 Reductio.