ML Engineer with ML Ops
- Infobeans
- 5 - 10 years
- Chennai
- 1 month ago
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Job Description
Role & responsibilities
- 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 Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: InfobeansLocation(s): Chennai
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Keyskills: ML Ops Data Pipeline Ci/Cd Machine Learning
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InfoBeans Systems is a fast growing software development company with offices in Pune and Indore and business development centre in US. We develop customized business applications for large and mid-size organizations in the US. We strongly believe that customer success defines our success. Hence, we...
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