3 days ago
Base Salary
$141k - $325k/yr
Responsibilities
- Design, develop, and deploy machine learning models and AI solutions for real-world customer problems.
- Rapidly build demos, proofs of concept, MVPs, and workflows showcasing new AI/ML capabilities.
- Develop and improve production integrations of open-source ML/AI tools such as MLflow, Spark, LangChain, and Kubeflow on platforms such as Kubernetes.
- Fine-tune models and algorithms for accuracy, efficiency, scalability, reliability, and performance in production.
- Develop, use, and maintain AI agents for automation and decision-making tasks.
- Translate customer requirements and industry trends into AI/ML solutions that improve product features, data management, and system performance.
- Collaborate with product managers, data scientists, and engineering teams while documenting procedures and best practices.
- Lead emerging AI-tool integration efforts, mentor junior team members, and communicate progress and challenges to leadership.
Requirements
- PhD with at least 2 years of relevant industry experience, or an equivalent Master's degree with 4+ years or Bachelor's degree with 6+ years of experience.
- Extensive hands-on experience applying machine learning and AI solutions in customer-facing or end-user environments.
- Proven ability to deploy models in production with reliability and performance.
- Experience with open-source ML/AI tools and frameworks.
- Experience with backend programming languages, including Python and Go.
- Proven experience developing, using, maintaining, and coding AI agents for automation or decision-making.
- Excellent written and verbal communication skills, particularly for asynchronous collaboration.
- Preferred qualifications include AI-agent and automation experience, inference deployment and optimization knowledge, familiarity with large-scale data pipelines, and experience with retrieval-augmented systems such as RAG.
Benefits
- Hybrid work arrangement requiring an average of two days per week from an HPE office.
- Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth and movement across divisions.
- Inclusive workplace with accessibility accommodations and equal employment opportunity.
Tech Stack
Categories
About HPE
Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.