Job Requirements
1 - 3 years of experience
Minimum Associate Degree
20-27 years old
Job benefits
-
Vacation & Leaves
You can take as many vacations, sick, personal, or mental health days as you need, so long as your manager approves your time off
-
Workstation assistance
Laptop or desktop? We don’t mind! As long as you’re happy with the tool to help you!
-
Free food & beverages
Overflowing pantry or meal allowances, offering free food at work helps with company morale
This job post is managed by
Eloquent. C
Last active 14 hours ago
Skills
Job description for Machine Learning Engineer at PT Mitra Informatika
Responsibilities
- 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
Requirements
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python or C++
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
Benefits
- Join very attractive and unique team that represent quality of generation
- Healthy and cozy working environment
- Handle big customer, big real problems
- Free lunch
- Working tools (Laptop with GPU)
- Fun and humble company culture without any politics
Interview process
Thank you for your interest in joining Mitra Informatika Group as Machine Learning Engineer.
The recruitment stages are as follows:
1. Administration
2. Pre-HRD Interview
3. User Interview
4. HRD Interview
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