AI Development Team Lead — Production ML

Elisa

Helsinki

Hybrid

EUR 90,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Continuous learning opportunities
Supportive AI team culture

Job summary

Elisa is seeking a Team Manager for our AI Development team in Helsinki. The role blends people leadership with hands-on ML work, including prototyping and deploying production-grade AI solutions in a GCP environment.

You will mentor a small team of data scientists, collaborate closely with leadership, and take end-to-end ownership of projects from concept to deployment, while translating business needs into technical results.

Qualifications

  • 2+ years of leadership experience mentoring AI/data/software professionals
  • Master’s degree or PhD in a relevant field
  • 3+ years hands-on experience building and deploying production‑grade ML models
  • Strong proficiency in Python for AI/ML and SQL for data manipulation
  • Experience with Large Language Models (LLMs) and Generative AI concepts (fine-tuning, RAG, AI agents)
  • Hands-on cloud experience, preferably Google Cloud Platform (GCP), with interest in MLOps
  • Self-driven, proactive, agile mindset with strong ownership and English communication; Finnish optional

Responsibilities

  • Lead and mentor a team of data scientists through 1-on-1s, performance reviews, and career development
  • Actively participate in AI projects from prototyping to production-ready deployments in GCP
  • Collaborate with Head of AI Development to align capacity with roadmaps
  • Own projects end-to-end from concept to deployment and operational integration
  • Bridge business needs with technical solutions for stakeholders

Skills

People Leadership
Python
SQL
Generative AI
LLMs
GCP
MLOps
English communication
Collaborative mindset

Education

Master’s degree or PhD in Computer Science/ Data Science/ Physics/ Mathematics

Tools

Google Cloud Platform (GCP)

Job description

Elisa is seeking a Team Manager for our AI Development team in Helsinki. The role blends people leadership with hands-on ML work, including prototyping and deploying production-grade AI solutions in a GCP environment.

You will mentor a small team of data scientists, collaborate closely with leadership, and take end-to-end ownership of projects from concept to deployment, while translating business needs into technical results.

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