Forward Deployed Engineer

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Nexxa.ai

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2024

🏗️ Construction

🏭 Fabrication

📦 Logistique

Construction • Manufacturing • Logistics

Nexxa. ai est une entreprise d'IA industrielle développant une automatisation avancée pour les opérations industrielles. Sa plateforme apprend des ingénieurs et employés pour reprendre des processus complexes et répétitifs, en fixant de manière autonome les objectifs et les critères d'exécution pour accroître la productivité et la résilience. Proposée sous forme de solution intégrée qui fonctionne avec les infrastructures technologiques existantes, Nexxa. ai se positionne comme un outil d'entreprise semblable à un SaaS, générant un retour sur investissement immédiat pour les équipes opérationnelles.

Description

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

🎯 Exigences

• 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar. • Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages. • Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models. • Direct experience with Generative AI (LLMs, multimodal models) and applying them to real-world problems. • Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines). • Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.). • Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes). • Excellent communication skills with both technical and non-technical audiences. • Comfort leading customer-facing engagements and guiding stakeholders through ambiguity. • Willingness and ability to travel frequently.

🏖️ Avantages

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies. • Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement. • Professional Growth: Benefit from significant opportunities for career development and advancement. • Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.