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  4. ML Engineer, Training Pipelines - Labaid AI Ltd.

ML Engineer, Training Pipelines - Labaid AI Ltd.

Latest Job Circular
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Vacancy
2
Experience
1+ years
Job Type
Full time
Salary
Negotiable
Location
Dhaka
Category
IT/Telecommunication
Application Deadline: 31 Jul 2026
Published on: 19 Jul 2026
All Requirements Responsibilities Skills & Expertise Company Information
Job Description
  • The role involves supporting medical language models, Bangla NLP systems, computer-vision models, healthcare imaging solutions, and edge-AI products. Candidates should have strong Python engineering skills and practical experience in model training, deployment, data pipelines, GPU infrastructure, experiment tracking, and reproducible machine-learning practices.
    • Requirements

    Education

    • Bachelor in Engineering (BEngg), Masters in Engineering (MEngg)

    Additional Requirements

    • Age 25 to 40 years
    • Only Male can apply
    Responsibilities & Context
  • Design and operate training and fine-tuning pipelines for language, vision, speech, and NLP models.
  • Build data-ingestion, de-identification, dataset-versioning, annotation, and quality-control workflows.
  • Manage experiment tracking and model registries using tools such as MLflow or Weights & Biases.
  • Operate GPU training infrastructure, including job scheduling, distributed training, utilisation monitoring, and cost control.
  • Optimise and package models using quantisation, ONNX, TensorRT, OpenVINO, Triton, or vLLM.
  • Build automated model-evaluation systems and detect performance regressions before deployment.
  • Establish machine-learning CI/CD processes, including retraining, canary releases, rollback, and audit trails.
  • Monitor deployed models for performance drift and support reliable retraining.
  • Write clean, tested, documented, and reproducible pipeline code.
  • Work with researchers, data scientists, and engineering teams to improve model-development practices.
    • Skills & Expertise
    BSC Engineering Mechanical Engineering Search Engine Optimization (SEO) Engineering (Except Computer)
    Workplace
    • Work from office
    Compensation & Benefits
    T/A
    Mobile Bill
    Lunch Facility: Partially Subsidize
    Festival Bonus: As per policy
    Salary Review: Yearly
    Requirements

    Education

    • Bachelor in Engineering (BEngg), Masters in Engineering (MEngg)

    Experience

    • Minimum 1 year(s)

    Age

    • 25 to 40 years
    Responsibilities & Context
  • Design and operate training and fine-tuning pipelines for language, vision, speech, and NLP models.
  • Build data-ingestion, de-identification, dataset-versioning, annotation, and quality-control workflows.
  • Manage experiment tracking and model registries using tools such as MLflow or Weights & Biases.
  • Operate GPU training infrastructure, including job scheduling, distributed training, utilisation monitoring, and cost control.
  • Optimise and package models using quantisation, ONNX, TensorRT, OpenVINO, Triton, or vLLM.
  • Build automated model-evaluation systems and detect performance regressions before deployment.
  • Establish machine-learning CI/CD processes, including retraining, canary releases, rollback, and audit trails.
  • Monitor deployed models for performance drift and support reliable retraining.
  • Write clean, tested, documented, and reproducible pipeline code.
  • Work with researchers, data scientists, and engineering teams to improve model-development practices.
    • Latest Job Circular

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    Industry
    IT/Telecommunication
    Founded
    2020
    Employees
    31-50 employees
    Location
    Mirpur Model
    View Company Profile
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