
Machine Learning
3 days ago
**Job Summary**
**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 4-7 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**
- 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_.
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