Senior Software Engineer (ML & AI)

Full time @Fanfare Bangladesh Ltd in Computer & Information Technology
  • Dhaka, Bangladesh, 51, Satmasjid Road, 1209
  • Post Date : August 28, 2025
  • Apply Before : September 23, 2025
  • Salary: Negotiable
  • 0 Application(s)
  • View(s) 109
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Job Detail

  • Job ID 17145
  • Career Level  Sr. Executive
  • Experience  3-4 Years
  • Min. Qualification  Bachelor's Degree
  • Gender  Any
  • Industry Experience  IT
  • No. of Vacancy  1
  • Job Location  Dhaka Division

Job Description

Education

  • Bachelor of Science (BSc) in Computer Science & Engineering
  • Master of Science (MSc) in Computer Science & Engineering

Experience

    • 3 to 7 years

Additional Requirements

  • Age 25 to 35 years

Responsibilities & Context

  • Proficiency in programming languages such as Python, R, or Java.
  • Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying machine learning models.
  • Expertise in data analysis, statistical methods, and data visualization tools.
  • Design, build, and deploy machine learning models for various business applications.
  • Ensure models are robust, scalable, and meet performance standards.
  • Oversee the entire lifecycle of machine learning projects, from data collection and preprocessing to model training, evaluation, and deployment.
  • Implement and advocate for ethical AI practices and principles, ensuring transparency, fairness, and accountability.
  • Conduct regular audits and assessments of AI systems to mitigate bias and ensure compliance with ethical guidelines and regulations.
  • Stay updated on the latest developments in AI ethics and integrate relevant practices into the organization.
  • Study and transform data science prototypes.
  • Design machine learning systems.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.

Skills & Expertise


Compensation & Other Benefits

  • Mobile bill,Weekly 2 holidays
  • Lunch Facilities: Full Subsidize
  • Salary Review: Yearly
  • Festival Bonus: 2

 

  • Afternoon Snacks

  • Other facilities as per organization policy.

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