Lead MLOps Engineer

• Architect and evolve InteractiveAIs ML infrastructure from data ingestion to model serving and continuous learning loops
• Design and implement scalable cloud-agnostic runtimes (Kubernetes/GPU clusters) across on-prem VPC and hybrid deployments
• Build automation for end-to-end ML pipelines (data fine-tuning evaluation deployment)
• Establish gold standards for reproducibility observability and model governance
• Partner with AI Engineers to optimize training/inference performance and cost
• Build internal tooling to accelerate AI product delivery and reduce time-to-deploy
• Implement robust monitoring logging and alerting frameworks for ML workloads
• Drive adoption of CI/CD best practices for ML and infrastructure code
• Mentor and grow a small team of MLOps engineers fostering technical excellence and ownership

• 5 years of experience in DevOps MLOps or Infrastructure Engineering roles
• Proven track record deploying and maintaining ML workloads in production
• Strong expertise in containerization and orchestration (Docker Kubernetes)
• Experience building CI/CD pipelines for ML models and infrastructure
• Proficiency with infrastructure-as-code tools (Terraform Pulumi CloudFormation)
• Strong coding/scripting skills (Python Bash or similar)
• Experience with monitoring and observability tools (Prometheus Grafana ELK etc.)
• Experience with at least one major cloud provider (AWS GCP or Azure)
• Strong understanding of ML lifecycle management (training evaluation deployment monitoring)

• Experience with MLflow Weights & Biases or other model-tracking systems
• Understanding of fine-tuning workflows (LoRA QLoRA PEFT) and LLM serving
• Exposure to RAG systems vector databases and large-model inference optimization
• Experience implementing security and compliance practices (GDPR ISO 27001 etc.)
• Prior experience leading technical teams or mentoring engineers
• Familiarity with distributed training and GPU cluster management is a plus

• Competitive base salary (from 60000/yr to 100000/yr) performance bonuses
• Future equity opportunity for high performers
• Health & wellness allowances
• Private health insurance
• Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)
• 25 days of holidays/paid time off (excluding local public holidays)

• Proactive & Strategic: You anticipate system and organizational needs designing scalable and future-proof solutions.
• Technical Leader: You raise the bar for engineering excellence and help others do their best work.
• Accountable & High-Ownership: You take full responsibility for uptime performance and delivery.
• Builder Mentality: Youre comfortable in ambiguity moving fast while maintaining reliability.
• Collaborative Partner: You communicate clearly build trust across teams and balance pragmatism with long-term vision.

1. Intro Call 30 minutes with our team to align on fit and expectations
2. Technical Challenge A practical MLOps design or automation task
3. Technical Interview Deep dive into systems architecture automation and ML infrastructure
4. Leadership & Values Interview Assess alignment with InteractiveAIs culture and growth mindset
5. Offer Final conversation and offer

InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.
We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.

Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.

We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.

If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.