| Published: | Sep 30, 2024 | Vacancy: | 3 | Gender: | Any |
| Age: | Not Specified | Career Level: | Mid Level | Experience: | 3 Year |
| Salary: | Negotiable | Location: | Dhaka, Mirpur |
Education
Experience
Additional Requirements
Published or under-reviewed papers in reputed IEEE conferences, book chapters, or journals will be a plus.
2. Familiarity with Large Language Models (LLMs) is an added advantage.
3. Having an Associate Cloud Certification in platforms like AWS or Azure is desirable.
4.The applicants should have experience in the following business area(s):Software Company
Silicon Orchard Limited is excited to announce that we seek talented individuals to join our machine learning team. We believe this role will provide a platform for personal and professional growth while pushing the boundaries of ML innovations. A strong focus on MLOps is essential for ensuring scalable and reliable deployment of models.
Job Responsibilities:
1. Develop and maintain efficient end-to-end pipelines for AI and LLM-based applications, ensuring seamless transitions from development to production environments.
2. Design, build, and maintain scalable machine learning services that support reliable data science operations.
3. Implement CI/CD pipelines using orchestration tools such as GitLab CI, GitHub Actions, or similar systems to automate workflows.
4. Design and implement cloud solutions (AWS, Azure, Digital Ocean) to build and optimize MLOps infrastructures on the cloud.
5. Continuously monitor application performance metrics and system health, ensuring high availability, performance, and reliability of ML systems such as MLflow, Weights & Biases (W&B).
6. Implement best practices for scaling and operating ML models in production environments.
7. Preprocess and collect data for model training, evaluation, and deployment purposes.
8. Collaborate with cross-functional teams including data scientists, data engineers, and architects to ensure seamless project delivery and maintain proper documentation.
9. Stay up-to-date with emerging technologies and trends in machine learning infrastructure, distributed systems, and MLOps practices.
Work from Office
Type: Full Time/Permanent
Shift: Day Shift
Dhaka, Mirpur
Send your CV to [email protected] Interview session will be held in English
Address: House 01, Avenue 01, Block D, Section 11, Mirpur, Dhaka 1216, Bangladesh
Business Type:
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