Pricing Analytics Engineer
hace 6 días
About the Role:
We are seeking a skilled Pricing Analytics Engineer to join our dynamic global pricing analytics team at Hewlett Packard. As a key member of our team, you will be responsible for developing, deploying, and monitoring advanced machine learning models that drive business outcomes and influence HP's sales and strategic decisions worldwide.
Responsibilities:
- Collaborate with data scientists to translate machine learning prototypes into production-ready models.
- Implement, test, and refine ML-based algorithms to meet business needs, ensuring high performance while maintaining scalability.
- Deploy machine learning models into production environments, ensuring they are scalable, efficient, and seamlessly integrated with existing systems.
- Monitor model performance in real-time, making adjustments with the team as necessary.
- Customize the automated CI/CD pipelines for model training, evaluation, and deployment provided by the central ML platform team to meet the needs of the pricing team.
- Work on scaling solutions to handle large datasets and increasing demand across global operations.
- Continuously optimize the performance of ML solutions, focusing on reducing latency, resource usage, and improving overall efficiency.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 3 years of professional experience in machine-learning models development and deployment.
- Experience in monitoring and supporting production models at scale.
- Strong programming skills in Python, along with experience in ML/DS libraries and frameworks (e.g., scikit-learn, pandas, polars).
- Knowledge of C++ is a plus.
- Experience with Docker and in creating, managing, and optimizing Docker containers.
- Proficiency in Test-Driven-Development (TDD), integration testing, unit testing and be able to ensure quality code at delivery time.
- Experience with artifact stores and model management tools (e.g., MLflow, DVC) for managing and versioning machine learning models.
- CICI/CD Expertise using GitHub Actions: Hands-on experience in setting up and managing continuous integration/continuous deployment (CI/CD) pipelines using GitHub Actions.
- Collaborative Development: Ability to work in a collaborative environment, using Docker and GitHub to facilitate smooth integration and deployment processes across development teams.
- Experience with cloud platforms, specific knowledge of AWS is a plus.
- Documentation and Best Practices: Strong ability to document processes, workflows, and best practices for Python and CI/CD pipeline management.
Salary: The estimated salary for this role is $120,000 - $180,000 per year, based on industry standards and location.
About Us:
Hewlett Packard is a Fortune 100 technology company with $58+ Billion in revenue, operating in over 170 countries worldwide. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations, and dreams.
What We Offer:
- A dynamic work environment that fosters innovation, creativity, and continuous learning.
- A collaborative team that values diversity, equity, and inclusion.
- Opportunities for career growth and professional development.
- A comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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