- Provides direct and ongoing leadership for an organization of multiple subordinate individual contributors that design, deploy, maintain and monitor machine learning based algorithms and systems.
- Collaborates with software engineering and Data Science teams to integrate models into production systems.
- Monitors and maintains deployed models, making updates as necessary to accommodate changing data or requirements.
- Manages headcount, deliverables, schedules, and costs for multiple products, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
- Engages with stakeholders to communicate program status, escalate issues, and guide and influence strategic decision-making.
- Manages relationships with business and technology partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
- Provides overall technical leadership and people development support for direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
- Drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development.
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or other related discipline or commensurate work experience or demonstrated competence.
- Typically has 10+ years of job-related experience or 8-10 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
- Agile Methodology
- Algorithms
- Apache Spark
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- Data Science
- Deep Learning
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- AWS
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Scikit-learn (Machine Learning Library)
- Software Engineering
- TensorFlow
- Customer Centricity
- Prioritization
- Resilience
- Team Management
- Strategic Thinking
- Impacts large functions and leads projects requiring knowledge of multiple disciplines or areas of HP.
- Uses managerial concepts and company objectives to resolve highly complex issues in creative and effective ways. May achieve goals through subordinate supervisors.
- 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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Description
Roles & ResponsibilitiesJob Summary
This role is responsible for leading a team of machine learning engineers and data scientists to drive the development and deployment of advanced machine learning models and solutions.
The role collaborates with cross-functional stakeholders, defines project roadmaps, allocates resources, and ensures the successful execution of machine learning initiatives.
The role is pivotal in transforming data into actionable insights that contribute to business growth and innovation.Responsibilities
Education & Experience Recommended
Knowledge & Skills
Cross-Org Skills
Impact & Scope
Complexity
Disclaimer
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
Apache Spark
Big Data
Natural Language Processing
Software Engineering
Career Development
PyTorch
People Development
Statistics
Data Science
Java
Python Programming
C++
