Senior Machine Learning Engineer

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Senior Machine Learning Engineer

role at

Paylead

Responsibilities

Review existing Data Science and ML algorithms and continuously improve them

Propose and experiment with new ML‑based solutions to tackle real‑life business problems

Build ML algorithms and data pipelines with a strong focus on robustness, scalability, and compliance

Deploy, monitor, and scale ML algorithms across all Paylead use cases (internal and external)

You’ll be part of a multidisciplinary, experienced squad of 6 engineers

Qualifications

At least 4 years of professional experience in Machine Learning (excluding internships and academic projects only)

Experience on challenging, state‑of‑the‑art ML topics

Strong engineering or scientific background, such as:

Engineering degree with a major in statistics / AI / ML / data science

Or Master’s degree in mathematics, statistics, data science, or machine learning

Hard Skills

Deep understanding of Machine Learning

Knows how the models work internally

Solid grasp of the mathematics behind ML models

Hands‑on experience with ML use cases such as prediction and recommendation systems

Strong Python skills, with experience in common ML / data libraries (PyTorch, Polars, scikit‑learn)

Solid SQL skills

Comfortable with Bash / CLI, Git, and Docker

Nice to Have (Tech)

Experience with Rust

First exposure to infrastructure topics (deployment, monitoring, cloud, etc.)

Soft Skills

Genuine passion for Machine Learning

Strong team player

Business and product mindset: able to understand use cases, constraints, and impact

Willingness to go the extra mile when needed

Clear, structured communication (both spoken and written)

Nice to Have (Other)

Contributions to open‑source projects or significant personal projects

Strong writing skills, including documentation for internal and external audiences

Screening with CTO

Tech interview with ML Engineers

Open discussion with the squad

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

IT Services and IT Consulting

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Location:

Paris, Île‑de‑France, France

(Paris, Île‑de‑France)

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