Salary: BDT 35,000 - BDT 50,000
Employment Type: Full-time, Permanent
Department: EPD
Team: AI
Location: Mohakhali DOHS, Dhaka
Work Hours: 40 hours/ week (5 Days/week)
Modality: On-site
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets to prepare them for AI model training and evaluation.
- Support the implementation and optimization of machine learning algorithms and neural networks using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Contribute to the development of AI models for various tasks such as natural language processing (NLP), computer vision, or predictive analytics.
- Write clean, well-documented, and efficient code in Python for AI model development, testing, and deployment.
- Perform basic model evaluation and fine-tuning to improve performance and accuracy.
- Help maintain and troubleshoot existing AI systems and pipelines.
- Participate in code reviews and contribute to team knowledge sharing and best practices.
- Collaborate with cross-functional teams, including product development and software engineering, to integrate AI solutions.
- Stay updated with the latest advancements in AI/ML research and technologies.
Qualifications
- Bachelor's degree in Computer Science, Data Science, or a related quantitative field.
- 1 year of relevant experience. (Freshers are also encouraged to apply)
- Solid proficiency in Python, including experience with relevant libraries such as NumPy, pandas, and Matplotlib.
- Basic understanding of machine learning concepts, algorithms (e.g., regression, classification, clustering), and neural network architectures.
- Familiarity with at least one major AI/ML framework (e.g., TensorFlow, Keras, PyTorch, scikit-learn).
- Experience with data manipulation, cleaning, and basic statistical analysis.
- Experience with Git or other version control systems.
- Strong analytical and problem-solving skills, with an eagerness to learn and adapt to new technologies.
- Good written and verbal communication skills to articulate technical concepts.