Remote Machine Learning Engineer

Join Kraken as a Remote Machine Learning Engineer

About Kraken

Kraken is a technology company that is part of the Octopus Energy Group, focused on creating a smart, sustainable energy system. We are transforming the energy industry by optimizing renewable generation, creating a more intelligent grid, and enabling utilities to provide excellent customer experiences. Our mission is to make the global transition to green energy quicker and more affordable.

About the Role

As a Machine Learning Engineer at Kraken, you will be part of our global ML/AI team, working to bring the next generation of AI-powered features to our platform. You will work across the entire product lifecycle, from identifying new technologies to implementing them in collaboration with our engineering teams. Your work will involve using state-of-the-art language models and prompting techniques to create features, training models in-house, and deploying them using Python and Kubernetes.

Key Responsibilities

Collaborate with operations teams to validate and implement new AI technologies.
Use Python and Kubernetes to deploy models via API.
Manage trained models using MLflow.
Stay up-to-date with changes in the field of machine learning and AI.
Work with front-end and back-end engineers to rapidly prototype and deploy innovative features.

What You'll Need

Passion for working in the energy sector and contributing to the energy transition.
Curiosity and self-drive to make decisions and find solutions to novel problems.
Experience with machine learning and deploying models in production.
Engineering mindset with experience in Python, PyTorch, Hugging Face, Scikit-learn, NLP, Kubernetes, and SQL.

Our Data Stack

AWS cloud infrastructure
Databricks Delta Lake for data storage and querying
dbt for data modeling and transformations
Spark for large data processing
Python data ecosystem for scripting and analytics
Jupyter and Jupyter Hub for notebook analytics
Airflow for task scheduling
Kubernetes for data services and task orchestration
MLflow for experiment and model management
Github, Circle CI, Grafana, and Prometheus for version control, deployment, and monitoring
Tableau and Streamlit as data front ends

Why You'll Love It Here

Profit-sharing and flex-office arrangements.
Excellent mutual insurance and soft mobility package.
Coverage of part of the "pass navigo" above the legal minimum.
Special days off to invest in associative projects.
A unique culture that values autonomy, innovation, and collaboration.

Equal Opportunity

At Kraken, we are committed to providing an inclusive and fair working environment. We encourage applications from all backgrounds and are committed to equal opportunities for all employees.

If you are ready to make a real impact in the energy industry and join a team of genuinely caring and empathetic people, we would love to hear from you.

Benefits
Extracted with AI

Profit-sharing
Flex-office
Excellent mutual insurance
Soft mobility package
Coverage of part of the "pass navigo" above the legal minimum
Special days off for associative projects

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