Databricks AI Platform Engineer

Job not on LinkedIn

🕒 February 9

🗣️🇪🇸 Spanish Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Factorial

Factorial

501 - 1000 employees

Founded 2016

👥 HR Tech

☁️ SaaS

🏢 Enterprise

HR Tech • SaaS • Enterprise

Factorial is a comprehensive HR software company that empowers businesses to optimize their human resource management through automation. It offers a centralized platform for managing employee data, payroll, time tracking, talent acquisition, and performance management, helping organizations streamline administrative tasks and focus on their workforce. With innovative solutions designed for various industries, Factorial aims to improve productivity and facilitate better decision-making for HR professionals.

📋 Description

• Innovate with cutting-edge technologies and be part of a transformation team • Use AI tools to enhance creativity, productivity, and learning in every project

🎯 Requirements

• At least 5 years of development experience with Python • Experience deploying ML/AI solutions into production • Strong knowledge of RAG systems (chunking, indexing, retrieval) • Experience with Databricks, MLflow and Unity Catalog • Familiarity with both classical and modern ML delivery (MLOps) patterns • Involvement in the design and operation of multi-user platforms • Comfortable working with Infrastructure as Code (IaC), CI/CD, identity and secrets management • Strong focus on security and data governance • Fluent communication in English

🏖️ Benefits

• Permanent contract • We support your professional development and visibility within the technical community • Flexible working hours • Shorter working hours on Fridays year-round and a three-month reduced-hours schedule during summer • 23 days of vacation per year, plus December 24 and 31 off

Apply Now

Similar Jobs

🕒 February 4

Afresh

51 - 200

🤖 Artificial Intelligence

🛍️ eCommerce

☁️ SaaS

ML Platform Engineer enhancing the machine learning platform at Afresh to optimize fresh food supply chains. Collaborating with teams to innovate solutions for food waste reduction.

Python

🕒 January 31

Deckers Brands

1001 - 5000

👥 B2C

👗 Fashion

🛒 Retail

Platform Engineering Lead overseeing AWS cloud infrastructure and DevOps practices at Deckers Brands. Ensuring reliability, security, and scalability of cloud services to enhance business growth.

Amazon Redshift

AWS

Cloud

EC2

Google Cloud Platform

Python

Terraform

🕒 January 30

Fanatics, Inc.

1001 - 5000

🎮 Gaming

🛒 Retail

🛍️ eCommerce

Senior Platform Engineer working on cloud infrastructure, Kubernetes platforms, and internal developer tooling for Fanatics Betting & Gaming. Collaborating with various teams to enhance developer productivity.

AWS

Cloud

Java

Kotlin

Kubernetes

Python

Terraform

Go

🕒 January 26

TigerData (creators of TimescaleDB)

51 - 200

☁️ SaaS

🤖 Artificial Intelligence

Senior Platform Engineer specializing in PostgreSQL at Tiger Data. Designing database features and ensuring operational excellence for cloud database platforms.

Cloud

Kubernetes

Linux

Open Source

Postgres

Go

🕒 January 24

Sentinel Blue

11 - 50

🔒 Cybersecurity

📋 Compliance

🏛️ Government

Platform Engineer building scalable and secure technical platforms for Sentinel Blue. Focused on developing and maintaining shared infrastructure, automation, and tooling that underpin service delivery.

🇺🇸 United States – Remote

💵 $120k - $160k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

Azure

Cloud

Terraform