Valencia
AI Consultant Location: Remote from Spain (an indefinite Spanish employment contract) Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Requirements: • 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems, • Proficient Python and strong software engineering principles, • Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform), • Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment, • Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders, • Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability, • Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP), • Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop), • Process automation and enterprise integrations, • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership, • Master or higher degree in Computer Science, Engineering, or related field, • On-prem LLM deployments; performance and cost tuning with caching and model routing, • AI safety, policy, and compliance experience in sensitive environments, • Public speaking and enablement and building reusable accelerators 1. Architecture Review & Production Readiness Assessment • Evaluate AI/ML and LLM solution architectures to ensure they are scalable, secure, and aligned with enterprise patterns., • Assess MLOps/LLMOps pipelines, model serving infrastructure, data flows, and integration points., • Identify architectural risks or gaps and propose mitigation strategies. 2. Compliance & Standards Validation • Verify that all AI development activities follow JTI’s internal development standards, documentation rules, and operational guidelines., • Ensure compliance with model governance, lifecycle management, versioning, and traceability requirements., • Check adherence to security, privacy, and data handling policies. 3. Technical Quality Assurance • Perform in‑depth technical code reviews, configuration reviews, and environment checks., • Validate model performance metrics, evaluation methodology, drift controls, and monitoring strategies., • Review model explainability, responsible‑AI controls, and risk assessment outputs. 4. Pre‑Deployment Validation • Conduct formal readiness reviews before solutions are promoted to production., • Provide clear recommendations for required fixes, improvements, or optimization., • Approve or block deployment based on technical quality and compliance. 5. Documentation & Reporting • Produce detailed review reports summarizing findings, gaps, and actionable guidance., • Maintain traceability of assessments across multiple projects throughout 2026. 6. Cross‑Team Collaboration • Collaborate with engineering, data science, architecture, and product teams to clarify requirements and ensure alignment., • Participate in technical workshops and solution walkthroughs. 7. Advisory & Best Practices Enablement • Advise teams on AI/ML and LLM best practices, including architecture, operations, MLOps, evaluation, and productionization., • Help standardize review processes and improve internal frameworks when needed.
Waiters
Sales & Marketing
Retail
Salon & Beauty
Construction & Trades
Fast Food
Animal Care
Art, Media, Design
Barista
Child Care
Cleaning
Customer Service
Driver & Delivery
Education
Events & Promotion
Healthcare
Host & Hostess
Kitchen Porter
Management
Manufacturing
Office & Admin
Science
Warehouse
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