- This role is responsible for driving a team of machine learning engineers and data scientists, guiding the development of machine learning software. The role collaborates with business stakeholders to understand goals and define machine learning product requirements. The role develops product roadmaps, allocates resources, and sets clear milestones for the team.
- Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
- Designs machine learning systems, runs machine learning tests and experiments, and retrains systems when necessary.
- Delivers results according to product strategy schedules and quality while maintaining SLAs on velocity, productivity, and quality.
- Trains, tests and deploys machine learning models for multiple products.
- Participates in design reviews with peers and stakeholders to decide among available technologies.
- Collaborates with data science and engineering teams to integrate machine learning solutions.
- Engages in state-of-the-art research in AI and ML, ensuring the team remains at the forefront of the industry.
- Leverages deep algorithmic knowledge to design and implement robust machine learning solutions.
- Maintains a high-performing team.
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 10+ years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
- Agile Methodology
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- Data Science
- Deep Learning
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Scikit-learn (Machine Learning Library)
- Software Engineering
- TensorFlow
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
- Impacts large functions and leads large, cross-division functional teams or projects.
- Provides highly innovative solutions to complex problems within established policy.
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
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Principal Machine Learning Engineer - Singapore - HP R&D SINGAPORE PTE. LTD.
1 week ago
Description
Roles & ResponsibilitiesJob Summary
Responsibilities
Education & Experience Recommended
Knowledge & Skills
Cross-Org Skills
Impact & Scope
Complexity
Disclaimer
Sustainable impact is HP's commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.
HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.
Tell employers what skills you have
TensorFlow
Machine Learning
Microsoft Azure
Apache Spark
Big Data
Natural Language Processing
Mathematics
Artificial Intelligence
Software Engineering
Agile Methodology
PyTorch
Statistics
Data Science
Java
Python Programming
C++
