Senior Full-Stack ML Engineer: Production AI Pipelines

Jobtailor; Helsinki; On-site; EUR 90,000 - 150,000; Full time

Job summary

Jobtailor in Helsinki is seeking an experienced engineer to productize ML pipelines for deep neural network compression, making training, compression, and evaluation workflows reproducible, observable, and cost-efficient. You will design and implement backend services in Python and build frontends exposing pipelines to users.

You will own deployment and operations, including containers, Kubernetes, CI/CD, observability, and security posture.

Qualifications

• Minimum 7 years of production software experience with shipping systems you designed yourself.
• Breadth across backends, data or ML pipelines, and infrastructure.
• Solid grasp of software architecture and cloud platforms, including system boundaries, failure modes, and trade-offs.
• Demonstrated experience training, fine-tuning, and running inference with PyTorch or TensorFlow.
• Clear grasp of modern ML tooling and pipeline architecture.
• Proven ability to evaluate trade-offs between model size, latency, memory, and accuracy.
• Comfort with AI-assisted development and coding agents.
• Security-first mindset covering trust boundaries, secrets, dependencies, and software supply chain.
• Fluent in English.
• Proven ability to thrive in agile, dynamic teams with fluid, cross-functional responsibilities.
• Solid experience in Frontend and UX experience is a plus.
• Hands-on experience with model compression, including quantization, pruning, distillation, sparsity, or inference-runtime optimization is a plus.
• Familiarity with quantum computing concepts or curiosity about them is a plus.
• Experience meeting formal security or compliance requirements in a small company is a plus
• Experience with distributed training, GPU scheduling, or ML cost optimization is a plus

Responsibilities

• Productize ML pipelines for compression workflows with reproducibility and observability.
• Design backend services in Python and build frontends for pipelines.
• Own deployment and operations including containers, Kubernetes, CI/CD, observability, security.
• Make architectural decisions with the team and document them clearly for colleagues and coding agents.
• Take machine learning from research code to secure, running products.
• Collaborate across teams in an agile environment.

Skills

Python Development

Machine Learning Pipeline Architecture

PyTorch or TensorFlow Experience

Kubernetes and CI/CD

Model Compression Techniques

Tools

Kubernetes

CI/CD

Cloud Platforms

Job description

Jobtailor in Helsinki is seeking an experienced engineer to productize ML pipelines for deep neural network compression, making training, compression, and evaluation workflows reproducible, observable, and cost-efficient. You will design and implement backend services in Python and build frontends exposing pipelines to users.

You will own deployment and operations, including containers, Kubernetes, CI/CD, observability, and security posture.