Energy Transition Optimization Specialist

il y a 2 jours


Paris, Île-de-France Augmented Energy Temps plein

Augmented Energy is on a mission to offer turn-key solutions to energy players, enabling them to transition towards a decarbonised electricity mix and ultimately offer greener energy services.

We are developing software solutions to integrate and manage all types of intermittent and flexible assets within our customer's existing operations, to improve their electricity carbon footprint as well as their revenues. Our team is entering into the next stage of our growth, scaling up our operations to thousands of concurrent processing tasks across grid data, market data, consumption and production data.

Job Description:
  • Design, develop and deploy machine learning pipelines for training & inference of timeseries forecasting models (data loading, data validation, feature engineering, modeling, serialization)
  • Automate and monitor the deployment, retraining, and performance of ML models in production (Argo)
  • Improve and manage our ML software ecosystem (keras 3 with the tensorflow backend, scikit-learn, pandas/polars, jupyterhub/jupyterlab, custom framework for ML pipelines & registry) and our cloud-based ML infrastructure (AWS, IaC via Terraform, K8s cluster with GPU nodes)
  • Collaborate with domain experts to ideate and research new scientific and engineering approaches to improve model performance both technically and functionally
About You:

We're looking for a purpose-driven and empathetic MLOps engineer who is comfortable with autonomy and solving complex problems that will enable us to forecast and optimize thousands of distributed assets:

  • 5+ years in Software / MLOps engineering, preferably in a data-intensive environment.
  • Comfortable writing production-ready code in python, integrating models and running ML pipelines into a cloud-based infrastructure.
  • An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment
  • Ability to proactively learn and adapt to new tools, technologies, and systems.
Benefits:
  • Fully remote (within 2h time difference of CET)
  • French CDI or exclusive service contract elsewhere
  • $80,000 - $120,000 per year

You will be joining an entrepreneurial adventure with a flat structure, real autonomy and project ownership as well as the ability to further build your team in the future. We believe in a fully remote company and we currently have people in 6 different countries. You are expected to help define the workstyle and lifestyle of the company.



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