Machine Learning Engineer
Our client is a global enterprise software provider, serving over 1,500 customers across financial services, government, media, and IT. They offer enterprise-grade PostgreSQL solutions, managed cloud services, and 24/7 support, enabling application modernization, database migration from legacy systems, and hybrid/multi-cloud deployments. Their platform unifies transactional, analytical, and AI workloads while ensuring security, compliance, and high availability, with built-in AI capabilities.
We are looking for an ML Engineer who will own the ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models.
Candidates must be based in Europe or the USA.
Requirements
- Production ML serving experience (low-latency inference, quantization/distillation)
- Eval pipeline and model registry experience
- Drift monitoring and shadow deployment experience
- SQL/Postgres fluency
- Security mindset; comfort operating in fully audited environments
- English level — Upper intermediate
Responsibilities
- Serving & eval: low-latency model serving, eval pipelines, model registry
- Research-to-production: get models to <50ms inference via quantization/distillation; drift monitoring; shadow deployment; telemetry-to-training-data pipelines
- Red-team harness: attack orchestration, scorecards, regression suites, CI gating for governance models
- Self-improvement loop: continuous retraining, dataset curation from the audit trail, gated auto-rollout
Will be a plus
- Red-team / adversarial testing harness experience (CI-gated regression suites)
- Experience building auto-retraining loops from production telemetry/audit data
What We Offer
- Fully remote work
- A professional, supportive, and friendly team.
- Long-term employment with competitive compensation, based on experience.
- Continuous knowledge sharing with engaged co-workers.