Field AI Engineer — Deployment-Ready ML & Sensing

NestAi Oy

Helsinki

On-site

EUR 70,000 - 120,000

Full time

9 days ago

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Job summary

NestAI Oy is seeking an AI Engineer (Forward Deployment Engineering) to embed within customer environments and bridge research with real-world deployment. You will work at the intersection of machine learning, deep learning, decision-making, and increasingly LLM-driven workflows.

This role emphasizes adapting models to field data, rapid prototyping, and collaboration across platform, embedded, and perception teams to deliver production-ready AI in edge environments.

Qualifications

  • Strong background in signal processing (classical or learned)
  • Solid ML theory and deep learning architectures, adaptable to new subfields
  • Proficiency in Python with PyTorch/TensorFlow and LLM tooling (LangChain)
  • Excellent communication with customers and stakeholders, consultative mindset
  • Understanding of data pipelines and model deployment (edge-based)
  • Experience with Git and Linux environments
  • Familiarity with cloud/edge compute (GCP/AWS/Azure) or hardware accelerators
  • Willingness to travel and work in customer environments

Responsibilities

  • Work directly with customer teams to understand requirements and translate them into concrete technical problems.
  • Design and implement algorithms for sequential decision-making, autonomous behavior, or specialized workflows.
  • Adapt and fine-tune models for real operational data and imperfect conditions.
  • Rapidly build prototypes in-field or in customer development environments and move successful ones to production.
  • Collaborate with platform, embedded, and perception teams to integrate learnings into NestOS.
  • Build lightweight simulations, test harnesses, or data pipelines on-site to validate algorithms.
  • Apply state-of-the-art research to production code under deployment pressure.

Skills

Signal processing
Machine learning theory
Reinforcement learning
NLP/LLMs
Communication with customers

Tools

PyTorch
TensorFlow
LangChain
Ollama

Job description

NestAI Oy is seeking an AI Engineer (Forward Deployment Engineering) to embed within customer environments and bridge research with real-world deployment. You will work at the intersection of machine learning, deep learning, decision-making, and increasingly LLM-driven workflows.

This role emphasizes adapting models to field data, rapid prototyping, and collaboration across platform, embedded, and perception teams to deliver production-ready AI in edge environments.

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