ML Engineer / Data Engineer

Company Background

nonlinear.ai is a network of seasoned software engineers offering custom data and ML software solutions. Our clients span various industries and sizes, from early-stage startups to big corporations. Our services include three pillars:

Data School

We guide our clients in discovering where data and AI can benefit their business.

Data Infrastructure

We design and implement data architectures and MLOps platforms, empowering our clients to efficiently collect, store, and process data.

Data Product

We create data and AI-driven software products that cut costs and risks while boosting profits and enhancing user experience.

Company Values

  1. We focus on delivering user-centric, results-driven software solutions that address real-world problems with measurable outcomes, prioritizing user satisfaction over sales.
  2. Operating with a startup spirit, we embrace agility, collaboration, and flexibility, leveraging a remote-first and inclusive environment that values true diversity.
  3. Our culture fosters scientific curiosity, encouraging continuous learning, adaptability, and generalist mindsets to stay innovative in a fast-evolving industry.
  4. Engineering excellence is at the core of our work, guided by best practices like test-driven development, pair programming, and continuous integration, all within a non-hierarchical and autonomous structure.
  5. We value ethical AI and a failure-positive mindset, viewing setbacks as opportunities for growth while ensuring our projects prioritize societal well-being.

Role Description

We are seeking experienced software engineers to collaborate with us on exciting projects in the data and machine learning (ML) space. If you have strong expertise in ML Engineering and/or Data Engineering, we'd love to hear from you!

Here's a snapshot of the technologies and frameworks we frequently use in our projects. While familiarity with these tools is valuable, it's not a requirement to have experience with them. We prioritize well-rounded generalists over specialists and value adaptability and problem-solving skills above all.

Languages
  • Python
  • For frontend: JavaScript, HTML, CSS
Machine Learning
  • Jupyter Notebooks
  • PyTorch
  • SciKit Learn
  • Pandas
  • Langchain
Big Data
  • Airflow
  • Spark
  • Kafka
  • dbt
  • Snowflake
Databases
  • Relational DBs
  • NoSQL DBs
Web Frameworks
  • Flask
  • FastAPI
  • Vue.js
Deployment
  • Git (Hub | Lab)
  • Docker
  • Kubernetes
  • Pulumi
  • Terraform
  • Cloud Infrastructure (AWS, GCP, Azure)

Conditions

Location: 100% remote or hybrid in Berlin, Germany.

Workload: 1-5 days / week depending on the project

Employment: contractor / freelancer

Timeline: as soon as possible

Contact

Please don't hesitate to contact us with any questions you may have.

You can reach us via mail: demir@nonlinear.ai

or just book an appointment via https://calendly.com/ozgur-demir/30min

Looking forward to talking to you 🙂