Title: Engineer- Machine Learning, Data Science & Engineering
Company Name: bKash Ltd.
Vacancy: 1
Age: Na
Job Location: Dhaka
Salary: Negotiable
Experience:
Technical/Job Knowledge:
Excellent command over C/C++/Java/Python Programming Language
Good Understanding of High-Performance Parallel Computation
Excellent command over different ML libraries, i.e., TensorFlow/Pytorch/Scikit-Learn/Pymc
Good Understanding of ML inference frameworks like ONNXRUNTIME/OpenVINO/TensoRT etc
Good command over Profiling toolsets like Nvidia Nsight Compute/ Gprofile etc.
Researching, designing, and implementing state-of-the-art machine learning models using appropriate algorithms, frameworks, and libraries
Analyzing and preprocessing large datasets, ensuring data quality, feature engineering, and transformation for optimal model performance
Evaluating model accuracy, performance, and scalability, and iterating on models to enhance their effectiveness
Deploying models into production environments, ensuring seamless integration with existing systems, and monitoring performance to detect and address any issues
Collaborating effectively with data scientists, software engineers, and product managers to understand business requirements, gathering feedback, and delivering impactful solutions
Staying up to date with the latest advancements in machine learning and exploring new techniques to continuously improve model accuracy and efficiency
| University | Percentage (%) |
|---|---|
| BRAC University | 10.14% |
| North South University | 8.02% |
| American International University Bangladesh (AIUB) | 4.06% |
| Daffodil International University (DIU) | 3.96% |
| Rajshahi University of Engineering & Technology | 3.67% |
| United International University | 3.29% |
| Ahsanullah University of Science and Technology (AUST) | 3.29% |
| Jahangirnagar University | 3.29% |
| East West University | 3.00% |
| 2.42% |
| Age Range | Percentage (%) |
|---|---|
| 20-30 | 84.64% |
| 31-35 | 9.28% |
| 36-40 | 2.03% |
| 40+ | 2.71% |
| Salary Range | Percentage (%) |
|---|---|
| 0-20K | 9.98% |
| 20K-30K | 24.31% |
| 30K-40K | 20.75% |
| 40K-50K | 17.98% |
| 50K+ | 26.98% |
| Experience Range | Percentage (%) |
|---|---|
| 0 years (Freshers) | 35.85% |
| 0.1 - 1 years | 19.81% |
| 1.1 - 3 years | 25.02% |
| 3.1 - 5 years | 11.30% |
| 5+ years | 8.02% |