MLOps Engineer (Machine Learning)

Silicon Orchard Ltd.

Silicon Orchard Ltd.

Silicon Orchard Ltd.

Follow

More jobs from this company

Summary

  • Vacancy: 3
  • Location: Dhaka
  • Salary: Negotiable
  • Experience: At least 3 years
  • Published: 30 Sep 2024

Requirements

Education

  • Bachelor in Engineering (BEngg)

Experience

  • At least 3 years
  • The applicants should have experience in the following business area(s):
    Software Company

Additional Requirements

1. 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.

Responsibilities & Context

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.

Skills & Expertise

Artificial intelligence (AI)

Azure

Cloud Platform

Machine Learning

Python

Compensation & Other Benefits

  • Over time allowance, Weekly 2 holidays
  • Salary Review: Yearly
  • Lunch Facilities: Full Subsidize
  • Festival Bonus: 2

● Weekly 2 holidays (Saturday & Sunday)

● Salary Review: Yearly

● Overtime allowance

● Festival Bonus: 2 (Yearly)

● Lunch & Breakfast – Full Subsidize

● Hybrid work (In-office & remote)

● Performance bonus

● Great work environment

● Facilities for skill development

Workplace

Work from home, Work at office

Employment Status

Full Time

Job Location

Dhaka

Source link

Upload your CV/resume or any other relevant file. Max. file size: 512 MB.

Scroll to Top