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Machine Learning Engineer

3 months ago

Mumbai, India Flairchase Full time

Job Description :


Responsibilities :


- Design the data pipelines and engineering infrastructure to support 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 to handle machine learning training and inference.

- Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems.

- Apply software engineering rigour and best practices to machine learning, including CI/CD, automation, etc.

- Support model development with an emphasis on audibility, versioning, and data security.

- Facilitate the development and deployment of proof-of-concept machine learning systems.

- Automate the deployment and scaling of machine learning models in production.

- Monitor and maintain the performance and accuracy of machine learning models in production.

- Implement continuous integration and delivery pipelines for machine learning models.

- Collaborate with data scientists, software engineers, and other stakeholders to ensure machine learning models' effective deployment and operation.

- Ensure the security, privacy, and compliance of machine learning models and related data.

- Stay up to date with the latest technology and industry trends in MLOps.

Requirements :

- Bachelor's or Master's degree in computer science, Information Technology, or a related field.

- 3+ years of experience in data engineering or a related field.

- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent.

- Experience in MLOps tools like MLFlow or Azure Machine Learning.

- Strong software engineering skills in complex, multi-language systems.

- Fluency in Python.

- Experience working with cloud computing and database systems.

- Experience building custom integrations between cloud-based systems using APIs.

- Experience developing and maintaining ML systems built with open-source tools

(ref:hirist.tech)