Senior Full-Stack Engineer

Jobtailor; Helsinki; On-site; EUR 90,000 - 130,000; Full time

Job summary

Jobtailor in Helsinki seeks a senior software engineer to productize ML pipelines for deep neural network compression and to make experimental workflows reproducible and cost-efficient.

You will design and implement Python backend services, build frontends to expose pipelines, and own deployment with containers, Kubernetes, CI/CD, observability, and strong security practices. Collaboration with research teams across AI, optimization, and simulation will shape technical decisions and architecture.

Qualifications

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

Responsibilities

• Productize ML pipelines for deep neural network compression
• Turn experimental training, compression, and evaluation workflows into reproducible, observable, and cost-efficient pipelines
• Design and implement small, secure backend services, primarily using Python
• Build frontends exposing pipelines and services to users
• Own deployment and operations, including containers, Kubernetes, CI/CD, observability, and security posture
• Make architectural decisions with the team and document them clearly
• Work across quantum computing, AI, optimization, and simulation systems
• Collaborate with research teams as a technical counterpart on model trade-offs

Skills

English proficiency

Python backend development

Cloud platforms

Security mindset

Agile teamwork

Software architecture

Tools

Kubernetes

CI/CD

Containers

ML tooling

PyTorch

TensorFlow

Job description

• Productize ML pipelines for deep neural network compression


• Turn experimental training, compression, and evaluation workflows into reproducible, observable, and cost-efficient pipelines


• Design and implement small, secure backend services, primarily using Python


• Build frontends exposing pipelines and services to users


• Own deployment and operations, including containers, Kubernetes, CI/CD, observability, and security posture


• Make architectural decisions with the team and document them clearly


• Work across quantum computing, AI, optimization, and simulation systems


• Collaborate with research teams as a technical counterpart on model trade-offs

Requirements

• Minimum 7 years of experience building and running production software


• Track record of shipping systems you designed yourself


• Experience across backends, data or ML pipelines, and infrastructure


• Solid grasp of software architecture and cloud platforms


• Experience training, fine-tuning, and running inference with PyTorch or TensorFlow


• Clear grasp of modern ML tooling and pipeline architecture


• Ability to evaluate trade-offs between model size, latency, memory, and accuracy


• Comfort with AI-assisted development and critically reviewing generated code


• Security-first mindset covering trust boundaries, secrets, dependencies, and supply chain


• Fluent in English


• Ability to thrive in agile, dynamic teams with fluid, cross-functional responsibilities


• Frontend and UX experience is a plus


• Hands-on experience with model compression is a plus


• Familiarity with quantum computing concepts or curiosity about them is a plus


• Experience meeting formal security or compliance requirements is a plus


• Experience with distributed training, GPU scheduling, or ML cost optimization is a plus

Core Competencies

Demonstrates expertise in building and deploying machine learning pipelines, with a strong focus on backend development using Python, cloud platforms, and security practices. Proficient in evaluating model trade-offs and collaborating with cross-functional teams in agile environments.

Highest-signal resume keywords

• Machine Learning Pipeline Development


• Python Backend Development


• Cloud Platform Architecture


• Model Compression Techniques


• Kubernetes and CI/CD Operations

Hard Skills

• Deep Neural Network Compression


• PyTorch


• TensorFlow


• Software Architecture


• Distributed Training


• GPU Scheduling


• ML Cost Optimization


• Observability


• Security Practices


• Model Fine-Tuning

Soft Skills

• Collaboration


• Agile Teamwork


• Critical Review

Industry Keywords

• Quantum Computing


• AI


• Optimization


• Simulation Systems


• Compliance Requirements

Tools & Technologies

• Kubernetes


• CI/CD


• ML Tooling


• Containers