Senior AI Engineer

TL;DR

Senior AI Engineer (AI): Design end-to-end AI architectures from data collection to production deployment and monitoring with an accent on model optimization, industrialization, and business impact. Focus on developing ML/DL/generative AI models, implementing MLOps pipelines, addressing governance challenges, and leading technical teams.

Company

hirify.global is an independent technology consulting firm providing solutions in Information Systems & Digital, Telecom, Life Sciences, and Engineering across 60+ countries.

What you will do

• Design end-to-end AI architectures, from data collection to deployment and monitoring in production
• Develop and optimize ML, DL, and generative AI models for performance and efficiency
• Industrialize models with MLOps/LLMOps, including CI/CD, version management, and drift monitoring
• Translate business needs into ROI-driven use cases like segmentation, fraud detection, recommendations, chatbots
• Collaborate with Data teams on quality, traceability, and compliance
• Address governance, ethics, and compliance issues; lead technically and mentor teams

Requirements

• Excellent Python and SQL; solid ML/DL experience (Scikit-learn, TensorFlow, PyTorch)
• Strong generative AI skills (LLM, RAG, prompt engineering); model deployment (API, microservices)
• MLOps/LLMOps (MLflow, CI/CD, Docker, Kubernetes); cloud (Azure, AWS, GCP)
• 5-8+ years in Data/AI, POC-to-production, business-impact use cases
• Data quality/lineage knowledge; regulatory awareness (e.g., BCBS 239)
• Results-oriented, pragmatic, autonomous with technical leadership

Nice to have

• Experience in banking/insurance/regulated industries
• Product/business-driven mindset; scaling culture

Culture & Benefits

• International community of 110+ nationalities with trust-based environment
• Robust training via internal Academy (250+ modules)
• Vibrant workplace with events (afterworks, team buildings)
• Sustainability focus through WeCare Together program for social/environmental impact
• Managerial support and personalized HR for career growth

Hiring process

• Brief call to discuss motivations and fit
• 3 interviews with line manager and team on experience, skills, role, and company
• Case study (technical assessment, role play, or problem-solving) depending on position