Senior Ai/ml Engineer

2 months ago

Thành phố Hồ Chí Minh, Vietnam Hitachi Digital Services Full time

**Our Company**

We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

**The team**

Hitachi Digital Services Vietnam is part of a 300 strong global delivery network, supporting Hitachi Digital Services around the globe. Our employees collaborate with teams in Japan, India, Portugal, and the US, servicing customers worldwide and working on a huge variety of projects. From cloud migration to digital modernization and advanced analytics, offering operational excellence, agile delivery, and plenty of energy to work on huge transformation projects for our customers.

**The role**
- Deploy models on edge devices, ensuring mínimal latency and optimal resource utilization.
- Collaborate with cross-functional teams to understand project requirements and deliver AI solutions tailored to business objectives.
- Enhance model performance through testing, tuning, and continuous improvements.
- Write clean, efficient, and scalable code primarily in Python and C++, ensuring code quality and robustness.
- Document technical designs, workflows, and models, promoting knowledge sharing across the team.

**What you'll bring**
- Barchelor, Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of experience in AI/ML engineering, with a focus on computer vision and deep learning.
- Strong proficiency in Python and C++.
- Proven experience in deploying ML models on edge devices and working with embedded systems.
- Familiarity with popular deep learning frameworks such as TensorFlow, PyTorch, or ONNX.
- Strong foundation in data structures, algorithms, and software design principles.
- Excellent problem-solving skills and a proactive attitude.
- Good English communication to work with global team members and clients.

**Preferred Qualifications**:

- Experience with CUDA programming and other GPU-accelerated computing techniques.
- Knowledge of cloud platforms (AWS, GCP, Azure) and familiarity with containerization (Docker).

**About us**

We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

LI-LQ1

**Championing diversity, equity, and inclusion**

**How we look after you**

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
- We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status_ or any other protected characteristic._ Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

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