ML Team Lead — Real-Time AdTech Platform (4.5‑Day Week)

Adikteev

France

Hybrid

EUR 130,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Quarterly performance bonus with KPIs
Longevity bonus
4.5 day work week
RTT
Mental health support
Flexible remote working policy
Team events
Inclusive environment

Job summary

Adikteev seeks a highly experienced Machine Learning Team Lead to own and scale its ML ecosystem for real-time decisioning. You will lead a team of ML engineers, drive model development for CTR/CR and bidding strategies, and optimize infrastructure for sub-10ms inference across display and video inventory.

You will partner with Tech, Product, and Analytics to define ML KPIs, run experiments, and translate business goals into technical strategies, including applied research from prototype to

Qualifications

  • 8+ years of industry ML engineering experience, including 3+ years in a leadership role.
  • Hands-on DSP experience in a DSP environment, familiarity with programmatic advertising, RTB, and bidding infrastructure.
  • Strong knowledge of recommender systems or LTV/churn modeling in adtech.
  • Proficiency with Python and major ML stacks (PyTorch, TensorFlow, scikit-learn).
  • Experience with ML platform tools, MLOps, and monitoring/observability practices.

Responsibilities

  • Lead, grow, and mentor the ML team, setting technical direction and priorities.
  • Design and train predictive models for CTR, CR, VTA, bid shading, and auction-wins.
  • Scale ML platform, feature stores, training pipelines, and model versioning.
  • Drive sub-10ms inference with high QPS through optimized serving and latency-aware architecture.
  • Own end-to-end ML workflows from data ingestion to monitoring, with ADRs and reviews.
  • Collaborate with Tech, Reporting, Product, and Analytics to define ML KPIs and communicate results.
  • Design and set up a neural network for adtech from prototype to production in the bidding stack.

Skills

Team leadership
ML engineering
DSP experience
Programmatic advertising
RTB
MLOps
Python
PyTorch
Communication

Tools

Triton
TorchServe
Ray Serve
MLflow
Spark
Flink

Job description

Adikteev seeks a highly experienced Machine Learning Team Lead to own and scale its ML ecosystem for real-time decisioning. You will lead a team of ML engineers, drive model development for CTR/CR and bidding strategies, and optimize infrastructure for sub-10ms inference across display and video inventory.

You will partner with Tech, Product, and Analytics to define ML KPIs, run experiments, and translate business goals into technical strategies, including applied research from prototype to

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