Machine Learning Engineer

2 weeks ago

Dhaka, Dhaka, Bangladesh CrackTech Limited Full time ৳70,000 - ৳120,000 per year

About Us

We are a growing tech-driven company looking to enhance our existing services with 
AI and Machine Learning solutions
. Our mission is to explore practical use cases of AI that bring real value to our users. If you are passionate about applied AI, love solving business problems with data, and enjoy building ML systems that run in the real world, we'd love to meet you

Responsibilities

  • Research, design, and develop ML/AI models to solve business problems.
  • Work with structured/unstructured data: data cleaning, feature engineering, exploratory analysis.
  • Train, evaluate, and fine-tune machine learning models.
  • Deploy ML models as APIs or micro-services (FastAPI/Flask).
  • Integrate AI/ML solutions into existing services.
  • Collaborate with developers, product managers, and stakeholders to identify new AI use cases.
  • Monitor, maintain, and improve deployed models (MLOps best practices).

Experience Level:

2–5 years

Required Skills & Qualifications

  • Strong programming skills in 
    Python
     with experience in libraries such as 
    NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
    .
  • Solid understanding of 
    machine learning fundamentals
    : supervised/unsupervised learning, model evaluation, overfitting/u
    nderfitting
    , etc.
  • Experience with 
    data preprocessing, feature engineering, and model training
    .
  • Hands-on experience deploying ML models via APIs (Flask/FastAPI).
  • Good understanding of 
    SQL/NoSQL databases
    .
  • Familiarity with 
    cloud services (AWS/GCP/Azure)
     and containerization (Docker).
  • Strong problem-solving skills and ability to translate business requirements into ML solutions.

Nice-to-Have (Bonus Points)

  • Knowledge of 
    NLP, Computer Vision, or Recommendation Systems
    .
  • Experience with 
    LLMs (HuggingFace, OpenAI, DeepSeek, etc.)
    .
  • Familiarity with 
    MLOps tools
     (MLflow, Kubeflow).
  • Contribution to open-source projects or Kaggle competitions.

Salary:

  • Negotiable

Office Location:

  • Mirpur, Dhaka
  • Beside Shewrapara MRT Station

Job Nature:

  • Full-time, 5-days a week, in-office job.

Facilities:

  • Govt. Holidays
  • Casual Leave
  • Two Festival Bonus
  • Performance Bonus
  • Yearly Salary Increment
  • Gratuity
  • Zero Interest Emergency Loan
  • Daily Snacks and Coffee

Last Date of Application:

  • 16 September 2025

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