AI/ML Engineer (Computer Vision & Generative AI)

Job Description

Title: AI/ML Engineer (Computer Vision & Generative AI)

Company Name: Intuisys Ltd

Vacancy: 5

Age: At least 21 years

Job Location: Dhaka

Salary: Negotiable

Experience:

Published: 2025-10-27

Application Deadline: 2025-11-26

Education:

    • Bachelor of Science (Pass)


Requirements:

Skills Required: Django Framework,Dockers and Kubernetes,Flask frameworks,Next.js,OpenCV,Python,Python and FastAPI framework,React Native | NodeJS | HTML | CSS | JavaScript | Github | Git,REST API,ScikitLearn

Additional Requirements:
  • Age At least 21 years
  • Familiarity with DevOps/MLOps concepts (CI/CD pipelines, model serving, monitoring)

  • A basic knowledge on models (SAM, Stable Diffusion, ControlNet, U²-Net, YOLO) or a thesis/project on Computer Vision, Image/Video Processing, or Generative AI will be considered as an added advantage.



Responsibilities & Context:

The job provides you the opportunity to build cutting-edge AI solutions in a fast-paced startup environment with high growth potential.The candidates are expected to have knowledge on AI/ML model development, customization, training, and deployment, and/or 1+ years of experience as a Data Scientist, ML Engineer, or AI Researcher (industry or academic projects).

The role requires you to:

  • Design, develop, and implement machine learning models, with a focus on Computer Vision, NLP, and LLMs, Generative AI.

  • Customize pre-trained models (e.g., Hugging Face, TensorFlow Hub, PyTorch Hub, Stable Diffusion, LLaMA) for specific applications.

  • Apply classical image processing techniques (e.g., filtering, edge detection, thresholding, feature/shape detection, OCR, etc.) when appropriate.

  • Train, fine-tune, and optimize models for accuracy, performance, and efficiency.

  • Experiment with datasets: data collection, cleaning, augmentation, and labeling pipelines.

  • Evaluate models using metrics and continuously improve performance.

  • Design and integrate APIs for AI model inference and services.

  • Work with large datasets to train, fine-tune, and evaluate models.

  • Collaborate with the engineering team to deploy AI solutions on cloud platforms.

  • Stay current with the latest research and bring innovative ideas into the product roadmap.



Job Other Benifits:
  • Mobile bill,Performance bonus,Provident fund,Over time allowance
  • Lunch Facilities: Partially Subsidize
  • Salary Review: Yearly
  • Festival Bonus: 2


Employment Status: Full Time

Job Work Place: Work at office

Company Information:

Gender: Male and Female can apply

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Category: IT & Telecommunication

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