Job Summary
• This role is responsible for designing and delivering machine learning software for various business applications. The MLE will collaborate with data scientists, data architects, and engineers to translate designs and specifications into scalable and robust solutions. They will optimize the performance and scalability of machine learning systems using cloud platforms or edge computing. The MLE will stay updated with the latest technological developments and trends in machine learning and generative AI. This role requires clear, articulate communication as the MLE is expected to present results and insights to internal and external stakeholders.
Responsibilities
• Develops integrated software solutions, specifically in support of the development, deployment and life cycle of machine learning models.
• Trains and validates models using appropriate evaluation metrics and techniques.
• Optimizes and tunes hyperparameters to improve model performance and generalization.
• Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency.
• Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements.
• Designs ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency.
• Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models.
• Cooperates with CI/CD teams to ensure seamless deployment of models to production.
• Partners with research and engineering teams to enhance automated model training techniques.
• Applies machine learning and statistical modeling techniques to business or research problems.
Education & Experience Recommended
• 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 minimum 8 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience.
Preferred Certifications
• AWS or Azure Certified Software Developer
Knowledge & Skills
• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Generative AI
• Java (Programming Language)
• Machine Learning
• Microsoft Azure Services
• Natural Language Processing
• OpenAI foundation models and APIs
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts multiple teams and may act as a technical leader providing direction to team activities and facilitates information validation and team decision making process.
Complexity
• Responds to moderately complex issues within established guidelines.
Disclaimer
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.
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.
