Sr. ML Cloud Engineer
Description -
In the Go To Market Analytics Centre of Excellence our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to affect the pricing decisions and marketing investments for all of HP products, globally and across all distribution channels, utilizing advanced analytics, machine learning and AI.
To get there, we are looking for a ML Cloud Engineer to implement best engineering practices and to turn data from a raw resource into structured, scalable, high-quality, and compliant fuel feeding our AI-powered products and solutions.
Design and implement CI/CD pipeline architectures in all stages (design, analysis, coding, testing and pipeline integration).
Own operational excellence objectives targeting reliability, quality, and release cadence, while perfecting operational economies of scale through extreme automation.
Ensure compliance of code standardization, systems, and products with infrastructure policies (incl. privacy), architecture, security and quality guidelines and standards.
Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering or equivalent, demonstrated through work experience, journal and/or conference publications or open-source projects.
Proficiency (4+ years) in the Python language. Extensive experience with Python programming, including writing and maintaining Python scripts for automation, data processing, and integration within CI/CD pipelines. Ability to develop and deploy Python-based applications in containerized environments.
Proficiency in Test-Driven-Development (TDD), integration testing, unit testing and be able to ensure quality code at delivery time, such as review Pull-Requests in a standardized manner.
Expertise in Cloud Based Architectures (2+ years). Demonstrated knowledge of building and developing architectures and pipelines within the cloud environment. Preferred AWS knowledge (DynamoDB, S3, RDS, ECR, Lambda, EC2…).
CI/CD Expertise using GitHub Actions: Hands-on experience in setting up and managing continuous integration/continuous deployment (CI/CD) pipelines using GitHub Actions. Proficiency in configuring workflows that incorporate Docker for building, testing, and deploying applications.
Documentation and Best Practices: Strong ability to document processes, workflows, and best practices for Docker, Python, and CI/CD pipeline management.
Experience in ML tools such as Databricks, MLFlow, Python libraries such as Pandas or Polars, Grafana, OpenSearch...
Entity Sales and Services
Job -
Software
Schedule -
Full time
Shift -
No shift premium (Spain)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you’d like more information about HP’sEEO Policyor your EEO rights as an applicant under the law, please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law – Supplement
