[Remote] Machine Learning DevOps - Cloud and Compute Cluster at Pathward

Paris, Île-de-France, France

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Very good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool
Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes)
Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.)
Cloud infrastructure knowledge (AWS, GCP, Azure) – especially in ML services (e.g., SageMaker, Vertex AI)
Familiarity with monitoring/logging tools (Grafana)
Experience with infrastructure as code (Terraform, CloudFormation)
Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow)
Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch)
Willingness to learn

Responsibilities

Optimize infrastructure for ML training and inference (e.g., GPUs, distributed compute)
Automate and maintain ML pipelines (data ingestion, training, validation, deployment)
Manage model versioning, reproducibility, and traceability
Work with terabyte-large datasets
Implement ML-centric CI/CD practices
Monitor model performance and data drift in production
Collaborate with machine learning engineers, software engineers, and platform teams

Skills

Key technologies and capabilities for this role

Machine LearningDevOpsCloud ComputingCompute ClustersGPUDistributed ComputingML PipelinesData IngestionModel TrainingModel ValidationModel DeploymentModel VersioningLinux AdministrationInfrastructure AutomationTerraform

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote.

What skills are required for this Machine Learning DevOps role?

Required skills include very good familiarity with Linux, shell scripts, and cluster configuration; proficiency in workload management, containerization, and orchestration (Slurm, Docker, Kubernetes); solid grasp of CI/CD tools (GitHub Actions, Jenkins, Gitlab CI); cloud infrastructure knowledge (AWS, GCP, Azure) especially ML services; and programming skills in Python.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team at Pathway look like?

The team consists of AI pioneers, including CTO Jan Chorowski who worked with Nobel laureate Geoff Hinton, and CSO Adrian Kosowski, a leading computer scientist, led by CEO Zuzanna Stamirowska.

What experience makes a strong candidate for this position?

Strong candidates have experience optimizing ML infrastructure (GPUs, distributed compute), automating ML pipelines, managing large datasets, implementing ML CI/CD, and collaborating with ML engineers, along with the listed technical proficiencies.

Pathward

Financial services promoting inclusion and access

About Pathward

Pathward promotes financial inclusion for individuals and businesses by offering a variety of financial services. Operating in the fintech sector, it uses technology to enhance financial solutions. Pathward provides services such as Banking as a Service (BaaS), payment processing, credit solutions, tax solutions, and commercial finance options, catering to small and medium-sized businesses and individuals lacking access to traditional banking. Unlike many competitors, Pathward focuses on tailored services that adapt to clients' unique needs, generating revenue through fees and interest from services like working capital loans and equipment financing. The company's goal is to help clients navigate their financial journeys and achieve stability and growth, even amidst economic challenges.

Sioux Falls, South DakotaHeadquarters

1954Year Founded

IPOCompany Stage

Fintech, Financial ServicesIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Life Insurance

Disability Insurance

Paid Time Off

Hybrid Work Options

Risks

Increased competition from fintechs like Dash Solutions pressures Pathward to innovate.

Regulatory scrutiny may increase with Pathward's expanded commercial finance solutions.

Macroeconomic factors like inflation could impact Pathward's target demographic's purchasing power.

Differentiation

Pathward offers a comprehensive suite of financial solutions for underserved markets.

The company focuses on financial inclusion, targeting unbanked and underbanked populations.

Pathward's Banking as a Service model provides tailored solutions for financial institutions.

Upsides

Pathward's partnership with TabaPay enhances its money movement capabilities.

The company's Great Place To Work certification boosts employee morale and retention.

Pathward's expanded product suite attracts more financial institutions seeking comprehensive services.

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