Applied AI Specialist

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Facilitate advanced, hands-on AI discovery workshops in collaboration with key ecosystem partners, such as NVIDIA.

• Execute technical and business discovery sessions with enterprise clients to pinpoint and define high-impact AI use cases.

• Evaluate data architecture, governance, infrastructure, security, compliance, and data-gravity issues for Private AI implementations.

• Act as a subject matter authority within a regional team and disseminate successful AI practices across various customer segments.

• Create proofs of concept, reference architectures, technical demonstrations, and solution frameworks.

• Convert validated opportunities into technical specifications, data requirements, success metrics, architectural suggestions, and defined outcomes for Forward Deployed Engineer teams.

• Record successful use cases, architectural patterns, and implementation frameworks for reuse across customers, industries, and regions.

• Collaborate with enterprise architects, data scientists, platform teams, business stakeholders, ecosystem partners, and Forward Deployed Engineers.

⛳️ Requirements

• Solid technical background in data science.

• Proficient in working directly with code, APIs, notebooks, development frameworks, and enterprise architectures.

• Hands-on experience in building or supporting AI applications encompassing machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI.

• Comfortable discussing model architectures, training and evaluation methods, inference patterns, and deployment considerations.

• Established success in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles in enterprise technology.

• Capability to assess data quality, governance, security, compliance, operational readiness, and infrastructure limitations.

• Outstanding ability to engage both technical and executive audiences.

• Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and contemporary AI development ecosystems.

• Preferred: familiarity with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDS, or accelerated computing platforms.

• Preferred: background in delivering customer-centric workshops, design sessions, or architecture engagements.

• Preferred: experience in transitioning AI projects from proof of concept to production.

• Preferred: knowledge of enterprise data platforms, governance frameworks, and hybrid cloud infrastructures.

🏝️ Benefits

• Generous PTO Policy.

• Unplugged Days.

• Flexible WFH Policy.

• Mental & Physical Wellness programs.

• Phone and Internet Reimbursement program.

• Access to Continued Career Development.

• Comprehensive Benefits and Competitive Packages.

• Paid Volunteer Time.

• Employee Resource Groups.

• Centralized platform support for workshop environments.

• Direct access to industry innovation.

• Career growth opportunities.