
AI Engineer
1 week ago
Who We Are
We are trusted modern technology leaders in:
- Agile Software Development
- Managed Quality Assurance
- Cloud Consulting and Managed Services
- Data Engineering and Analytics
- Artificial Intelligence and Machine Learning
We use technology to enrich experiences, empower businesses, and uplift communities.
Our C.A.R.E. values
- nourish Creativity
- embody Agility
- manifest Reliability
- pursue Evolution
The Role
Your primary focus is to interpret real-world use cases that can be solved by AI/ML/DL and create new pipelines in terms of the overall solution. Conduct research and present your findings with respect to the problem and propose the best solution or use available AI APIs, open-source and state of the art research when needed.
The BenefitsAt Stratpoint, we enjoy the autonomy, lack of bureaucracy, and the freedom to experiment but without the chaos. We're like a startup but with adult supervision.
You will be supported by capable management of HR, Finance and IT that adheres to the highest standards of integrity and good governance.
Hybrid is our mode of work, but when we need to come together, we have inviting open floor office spaces designed to spark gatherings, collaboration, and camaraderie.
Stratpoint employees enjoy
- SSS, Pag-ibig and Philhealth benefits + company contribution
- a monthly miscellaneous allowance
- 13th month pay based on your monthly rate.
- Vacation and Sick leave
- Wellness programs such as Wellness Wednesdays
- HMO coverage
- Team buildings and quarterly events (company outings and festive celebrations for Chinese New Year, Valentines, Halloween and Christmas)
- And, friendly team competitions
Main duties and responsibilities:
- Translate real-world problems into components solvable by ML and DL techniques.
- Train or build new models that can be applied to practical problems.
- Build or source the necessary datasets for training and fine-tuning AI/ML/DL models.
- Analyze model performance and formulate necessary recommendations.
- Present thoughts and ideas in an organized manner and use Jupyter Notebooks in whatever platform.
Qualifications:
- Graduate of any 4 or 5 year course related to software development, information systems, and analysis, e.g. Statistics, Math, Computer Science, Information Technology, Computer Engineering, or equivalent.
- Basic knowledge in APIs, containers, and clustered systems.
- At least 1 year of commercial experience in using software libraries and toolkits for high-performance numerical computation such as Scikit*, NLTK, Caffe/2, PyTorch/Torch and Tensorflow.
- At least 1 year of commercial experience in Python.
- Programming skills in C/C#/C++, R, Java, and JavaScript is a plus.
- Knowledge in Machine Learning and Deep Learning algorithms, specifically NLP, is a plus.
- Knowledge in any MLOps tools is a plus.
- Readiness to dive in and become part of a winning team.
- Strong analytical and implementation skills.
- Excellent English reading and writing skills is a plus.
- Responsible and can work with minimum supervision.
- Ability to work under pressure.
The requirements listed in this job description are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark of what we are looking for, we encourage you to submit an application. We look forward to getting to know you more
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