AI Engineer

Who We Are

We are trusted, modern technology leaders in:

• Agile Software Development
• Artificial Intelligence and Machine Learning
• Cloud Consulting and Managed Services
• Data Engineering and Analytics
• Quality Assurance

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

We are looking for dedicated AI Engineers to join our dynamic team. In this role, you will support the interpretation of real-world use cases and assist in developing pipelines to create comprehensive solutions. You will participate in research, help present findings, and contribute to proposing solutions using available AI APIs, open-source tools, and established research.

The Benefits

At 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 intramural competitions

Your Team

You will be working with a team of AI Engineers, Data Scientists and Software Engineers of different tech stacks depending on the project you will be assigned to under Labs.

Your Responsibilities

• AI Solution Design & Development: Participate in the design and prototyping phases of AI solutions and collaborate with senior engineers to understand and translate real-world problems into components solvable by ML/DL techniques.
• Model Implementation & Data Management: Implement and support the execution of model training and tuning pipelines, and assist in data preparation, including sourcing, cleaning, and labeling datasets.
• Documentation & Maintenance: Document technical specifications, experimental results, and code using tools like Jupyter Notebooks, and contribute to the maintenance and monitoring of deployed AI models under supervision.

About You

• Bachelor's degree (or higher) in a related field such as Computer Science, Information Technology, Mathematics, Statistics, Computer Engineering, or a comparable discipline.
• Proficiency in APIs, containerization, and managing clustered systems.
• Eagerness to collaborate and contribute as part of a high-performing, innovative team.
• Strong analytical skills with a proven track record in implementation and problem-solving.
• Capable of working independently with minimal supervision, demonstrating responsibility and initiative.
• Able to thrive in high-pressure situations and meet tight deadlines.
• Programming skills in languages such as C, C#, C++, R, Java, or JavaScript are an advantage.
• Knowledge of Machine Learning and Deep Learning algorithms, especially in Natural Language Processing (NLP) and the Transformer architecture, is an advantage.
• Experience with MLOps tools is highly desirable.
• Knowledge of any major Cloud Platform (e.g., AWS, GCP, Azure) is a plus.
• Strong English reading and writing skills will be an asset.
• Hands-on experience with software libraries and toolkits for high-performance numerical computation, such as Scikit-learn, NLTK, Caffe/2, PyTorch, and TensorFlow.

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!