Referso Jobs

Architecte Data / IA – Services Financiers CDI (F/H) – Marseille

Scalian · Posted Nov 9, 2026

Open

Marseille, Provence-Alpes-Côte d'Azur, France
Full-time · Senior
10–15 years

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Architecte Data / IA – Services Financiers CDI (F/H) – Marseille

Scalian · Posted Nov 9, 2026

Open

Marseille, Provence-Alpes-Côte d'Azur, France
Full-time · Senior
10–15 years

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Architecte Data / IA – Services Financiers CDI (F/H) – Lyon

Scalian · Posted Nov 9, 2026

Open

Lyon, Auvergne-Rhône-Alpes, France
Full-time · Senior
10–15 years

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Architecte Data / IA Services Financiers responsable de la définition, industrialisation et déploiement d’architectures Data & IA pour les services financiers, en assurant conformité réglementaire et performance.

Compensation

Rémunération : En fonction du profil

Responsibilities

Définir des architectures Data & IA : data mesh, feature stores, plateformes MLOps, scoring, pricing et IA générative
Industrialiser les solutions en garantissant passage à l’échelle, performance, résilience et maîtrise des coûts
Traduire les exigences de l’AI Act, DORA, ACPR, RGPD, Bâle et Solvency en choix de conception
Garantir l’explicabilité, la traçabilité, la robustesse et le contrôle des biais des modèles
Intégrer les contraintes des métiers : risques, conformité, anti-fraude, KYC/AML, marketing, relation client, actuariat et trading

Requirements

Master's degree (Bac+5) in Engineering or Business School with strong technical specialization

Skills

Data architecture IA architecture Data mesh Feature stores

Senior Machine Learning Engineer

Coinbase · Posted Nov 6, 2026

Open

Remote, United States
Remote
Full-time · Senior
$214K–$225K per year
5+ years

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The Senior Machine Learning Engineer (L5) will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and modeling to production serving and online A/B experimentation.

Compensation

Annual base salary range (excluding equity and bonus): $213,750—$225,000 USD

Responsibilities

Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing
Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models
Design intelligent notification orchestration, candidate ranking, and targeting systems
Develop production LLM pipelines, grounding workflows, and automated evaluation loops
Architect resilient, low-latency model serving services and real-time feature pipelines

Requirements

Nice to have: PyTorch
Nice to have: GBDTs
Nice to have: Spark
Nice to have: Databricks
Nice to have: Ray

Skills

machine learning engineering software development Python Go

Architecte Data / IA – Industrie CDI H/F

Scalian · Posted Nov 6, 2026

Open

Vitrolles, Provence-Alpes-Côte d'Azur, France
On-site
Full-time · Senior
10–15 years

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Architecte Data / IA Industrie responsable de la définition, industrialisation et déploiement d'architectures Data & IA pour des environnements industriels, combinant avant-vente, solutioning et delivery de projets complexes.

Responsibilities

Définir des architectures Data & IA
Industrialiser les solutions
Traduire les exigences des normes et réglementations industrielles
Garantir la robustesse, la traçabilité des modèles
Intégrer les contraintes des métiers industriels

Requirements

Formation ingénieur, grande école scientifique avec forte spécialisation technique, ou équivalent universitaire Bac+5
Nice to have: Azure
Nice to have: AWS
Nice to have: GCP
Nice to have: OVHcloud

Skills

Databricks Snowflake Delta Lake Apache Kafka MQTT OPC-UA Airflow Spark

Staff Machine Learning Engineer

Tilt Finance · Posted Nov 5, 2026

Open

Remote, United States
Remote
Full-time · Staff

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Own the layer between data science and infrastructure, managing the feature store, and building training/deployment platforms to allow data scientists to ship independently.

Responsibilities

Run our managed feature store: build the patterns and tooling for defining, backfilling, and serving features so a new model can be trained from existing features and deployed.
Make the feature store the starting point for model training, not just deployment, so new models are trained on existing features instead of rebuilt pipelines.
Build and improve our automated training and deployment platforms.
Turn the steps data scientists repeat (registering features, launching training jobs, promoting a model, setting up monitoring) into self-service agents and skills they run themselves.
Standardize training and retraining so refits are schedulable, reproducible and backed by feature store data rather than one-off queries.

Requirements

Nice to have: Databricks Feature Store
Nice to have: Feast
Nice to have: Tecton
Nice to have: GitHub Actions
Nice to have: Jenkins

Skills

Machine Learning platform engineering Software engineering

Senior Machine Learning Infrastructure Engineer, Matchmaking

Roblox · Posted Nov 3, 2026

Open

San Mateo, California, United States
On-site
Full-time · Senior
$243K–$295K per year
5+ years

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Build scalable, reliable, and high-performance infrastructure that powers ML systems across Roblox, operating at the scales of tens of billions of scorings and redefining how millions of users are matched to games.

Compensation

$243,290—$295,250 USD

Responsibilities

Work at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving.
Design and own large-scale data engineering and streaming systems that power ML, including real-time event ingestion, streaming feature computation, training-data generation, and data quality and freshness guarantees.
Build online and continual learning systems that let models adapt to user behavior and content shifts in near real time.
Investigate model, data, and systems tradeoffs end to end, from streaming data pipelines and distributed training to low-latency inference and production serving.
Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure.

Requirements

BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience

Skills

Kafka

Machine Learning Engineer

Iterable · Posted Nov 3, 2026

Open

Lisbon, Lisbon District, Portugal
Mid
€55K–€68K per year
2–4 years

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Design and build end-to-end machine learning systems that power intelligence across Iterable’s product, owning the systems and models behind ML products and shaping the direction of AI at Iterable.

Compensation

The base salary range for this position in Lisbon, Portugal, is €55,000 – €68,000 per year (gross).

Responsibilities

Build and ship ML capabilities for core product features
Execute full model lifecycle including EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation
Maintain and scale data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes
Collaborate cross-functionally with Backend and Platform teams
Participate in design reviews and continuously improve code quality

Requirements

Nice to have: recommendation systems
Nice to have: personalization engines
Nice to have: Feature Stores
Nice to have: ML observability platforms
Nice to have: Terraform

Skills

Python Scala Docker Kubernetes

Architecte Data / IA – Services Financiers CDI (F/H) – Marseille

Architecte Data / IA – Services Financiers CDI (F/H) – Marseille

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Architecte Data / IA – Services Financiers CDI (F/H) – Lyon

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Senior Machine Learning Engineer

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Architecte Data / IA – Industrie CDI H/F

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Staff Machine Learning Engineer

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Senior Machine Learning Infrastructure Engineer, Matchmaking

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Machine Learning Engineer

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