Junior AI Engineer

Junior AI Engineer

Employment Type: Full-time (on-site)

Number of vacancies: 4

Job location: Dhaka, Bangladesh

Job context:

Miaki is a forward-thinking organization dedicated to leveraging the power of artificial intelligence to solve real-world problems. Our team is passionate about innovation, collaboration, and making a positive impact through cutting-edge technology. We are seeking a motivated and talented Junior AI Engineer to join our growing team and contribute to exciting AI-based projects.

Job Summary:

As a Junior AI Engineer at Miaki, you will be an integral part of our AI development team. You will work on various AI and machine learning projects, assisting in the development, testing, and deployment of AI models. This is an excellent opportunity for a recent graduate or someone early in their career to gain hands-on experience in the dynamic field of artificial intelligence.

Key Responsibilities:

1. Assist in the development and implementation of machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
2. Perform data preprocessing, including cleaning, normalization, and augmentation.
3. Collaborate with senior developers and data scientists to understand project requirements and contribute to AI solutions.
4. Conduct exploratory data analysis and visualize data using tools like Matplotlib or Seaborn.
5. Participate in code reviews and maintain code quality through best practices.
6. Stay up-to-date with the latest developments in AI and machine learning and apply new techniques as appropriate.
7. Assist in deploying machine learning models to production environments.
8. Document processes, models, and code to ensure knowledge sharing and team collaboration.

Qualifications:

1. Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. Strong programming skills in Python; familiarity with R is a plus.
3. Basic understanding of machine learning concepts and algorithms.
4. Experience with machine learning libraries and frameworks (TensorFlow, PyTorch, Scikit-learn).
5. Proficiency with data manipulation and analysis using Pandas and NumPy.
6. Basic knowledge of linear algebra, calculus, probability, and statistics as they apply to machine learning.
7. Familiarity with version control systems like Git.
8. Strong problem-solving skills and the ability to think analytically.
9. Excellent communication skills and the ability to work effectively in a team.
10. Willingness to learn and adapt to new technologies and methodologies.

Preferred Qualifications:

1. Exposure to cloud platforms like AWS, Google Cloud, or Azure.
2. Knowledge of SQL and NoSQL databases.
3. Understanding of deploying machine learning models to production.
4. Experience with data visualization tools like Matplotlib or Seaborn.

Salary:  Competitive and negotiable salary range, based on market analysis and hands on working experience 

Other benefits: 

1. 2 Festival bonus
2. Mobile Allowance 
3. 2 days weekly holiday
4. Medical Insurance coverage along with Spouse & Kids
5. Provident Fund and Gratuity
6. Opportunities for professional growth and development.
7. Collaborative and inclusive work culture.
8. Opportunity to work on exciting and innovative projects

Position interviewing process:

1. Introductory discussion with HR
2. Online interview with the technical team
3. Final interview with the Project Owner

Application Instructions:

Interested candidates are encouraged to submit the resume by mentioning the post name of the job in the email subject line to [email protected]