Senior MLOps/LLMOps Engineer

IVY Partners; Lisboa; Presencial; EUR 40 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Supportive work environment

Training and growth prospects

Positive impact on the community

Resumo da oferta

Ivy Partners, a Swiss consulting firm in Lisbon, seeks professionals in ML Ops and Data Platform Engineering. Responsibilities include designing pipelines for ML traffic, implementing data governance, and ensuring platform reliability.

Ideal candidates have hands-on experience with LLM systems and a strong command of Python. Join us for a supportive work environment that values innovation and community responsibility.

Qualificações

• Extensive hands-on experience in ML Ops / Data Platform Engineering.
• Proven experience with LLM systems in production.
• Strong background in observability, tracing, and evaluation systems.

Responsabilidades

• Designing and implementing ingestion pipelines for ML/LLM traffic.
• Constructing mechanisms for PII redaction and classifying safety/abuse.
• Setting architecture of storage, retention policies, and data governance.

Conhecimentos

ML Ops

Data Platform Engineering

Production-grade Python

Azure

AWS

SQL

TypeScript

PII handling

Observability

Failure analysis

Multi-tenant SaaS

Vector databases

Descrição da oferta de emprego

Our Mission

Ivy Partners is a Swiss consulting firm that helps companies navigate strategic, technological, and organizational challenges. We are committed to providing our employees with a career that supports both their personal and professional growth. We guide them in skill development and offer genuine opportunities for advancement.

Responsibilities

• Designing and implementing ingestion pipelines for ML/LLM traffic in production
• Constructing mechanisms for PII redaction and classifying safety/abuse
• Setting architecture of storage, retention policies, and data governance
• Implementing dashboards and query layers for operational debugging
• Developing workflows for eval mining and regression detection
• Integrating autoraters and LLM-as-judge pipelines
• Building automatic triage mechanisms for failure detection
• Ensuring the reliability, observability, and access control of the platform
• Supporting scalable onboarding of multiple tenants
• Making decisions on tooling and hosting (self-hosted vs managed SaaS)

About You

• Extensive hands‑on experience in ML Ops / Data Platform Engineering
• Proven experience with LLM systems in production
• Strong background in observability, tracing, and evaluation systems
• Excellent command of production‑grade Python
• Knowledgeable in governance, PII handling, and regulated environments
• Experience with Azure and/or AWS
• Familiar with vector databases, eval pipelines, and failure analysis
• Pragmatic mindset and technical ownership from end‑to‑end
• Capable of operating critical systems with a focus on reliability
• Experience in multi‑tenant SaaS environments
• Knowledge of SQL and TypeScript for dashboards
• Interest in modern AI tooling (Claude, OpenAI, GitHub, etc.)

Why Join Ivy Partners?

• Care – We care about our employees by creating a supportive environment where everyone is valued and empowered with training and growth prospects.
• Trust – We believe in building strong and long‑lasting relationships with our clients. Working with us is about establishing a partnership based on trust, professionalism, and transparency at all times.
• Innovation – We empower effective digital transformation through a unique blend of innovative technology and creative thinking.
• Responsibility – Community is at the heart of everything we do, and we take that responsibility seriously by working hard to create a positive impact.