Machine learning állások, munkák középiskolai végzettséggel

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Operate in a fast-paced environment across multiple customer opportunities in parallel.
• Conduct business and technical discovery with customers, while partnering with representatives from Adobe's Client Solutions Sales

Build and refine backend services and data pipelines Develop reliable Python workflows/services and relational database solutions for high-quality data delivery Lead technical design for complex roadmap work-data collection, analytics and distribution Improve reliability and scalability of...

• Implement global workplace experience standards and programs in the Berlin office, under guidance from the Lead.
• Assist with day-to-day office operations, including facilities coordination and support with vendors (cleaning, security, catering, maintenance).

• Develop and communicate a transformational 'Big Idea' that aligns Adobe solutions with customer challenges
• Contribute to territory planning and account prioritization
• Inspire customers by painting a compelling vision of digital transformation

Own the Pipeline & Sales Cycle from prospecting to close: including discovery, business value development & discussions, negotiation, and contract execution. Articulate value and ROI clearly through data-driven storytelling and consultative selling....

• Drive the expansion of key enterprise accounts (utilities, investors, infrastructure) and secure long-term, high-impact deals.
• Build trusted relationships with boards, banks, and senior stakeholders—be the credible face of suena.

• Own the full sales funnel: from discovery call and demo to closing multi-asset deals with mid market clients.
• Identify decision-makers, develop account strategies, and lead complex negotiations through to signed contracts.

• Live Trading: Monitor markets, prices, and live trading results; react quickly to anomalies; improve our automated processes.
• Strategy Development: Develop and refine models, test new approaches, and collaborate closely with quants, data scientists, and developers.