Technical Product Marketing Manager focused on product marketing strategy for HPE Private Cloud AI. Responsible for technical content execution and collaborative efforts with product management.
About the role
- Data Analyst joining Salon Line to implement AI solutions and enhance business intelligence. Integrating systems, optimizing processes, and developing scalable data-driven solutions.
Responsibilities
- Implement from scratch and integrate the IT environment with a machine learning infrastructure.
- Identify, analyze, and interpret trends or patterns in complex datasets.
- Develop and implement artificial intelligence models using machine learning to optimize and improve performance.
- Develop, test, and maintain automations and AI-based solutions.
- Optimize processes across departments through the use of AI tools.
- Collaborate with various business areas to improve the customer experience, with a focus on artificial intelligence and machine learning.
- Work with agile methodologies (Scrum, Kanban).
- Deploy large-scale intelligent applications.
- Create scalable solutions that combine data and machine learning.
Requirements
- Degree in Information Systems, Systems Analysis, Computer Science, Computer Engineering, or related fields.
- Proven experience developing applications using the Python programming language.
- Solid knowledge of popular Python frameworks and libraries, such as Django, Flask, NumPy, and Pandas.
- Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).
- Familiarity with integration tools such as OIC (Oracle Integration Cloud) or similar platforms.
- Experience developing APIs and web services using frameworks such as REST, GraphQL, or similar.
- Knowledge of artificial intelligence and machine learning concepts and experience using generative AI models (e.g., Gemini, GPT, Claude).
Benefits
- Meal voucher
- Transportation voucher
- Health plan with copayment
- Casual dress code
- TotalPass
- Life insurance
- Birthday voucher for the employee of the month to celebrate in style
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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