Machine Learning Engineer
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Intro
The Machine Learning Engineer position at Octopus Energy in France focuses on leveraging AI technology to create a smart, sustainable energy system. The role involves working with a global ML/AI team to implement AI-powered features, optimize the platform, and contribute to the energy transition. The company values autonomy, innovation, and a passion for learning new technologies in a fast-changing field. The role requires experience in machine learning, deploying models in production, and familiarity with technologies like Python, NLP, Kubernetes, and SQL.
Tasks
- Develop AI-powered features for energy management platform
- Work on the whole product lifecycle from exploration to monitoring performance
- Use state-of-the-art LLMs and prompting techniques
- Deploy models via API using Python and Kubernetes
- Manage trained models with MLflow
Requirements
- Passionate about working in energy and contributing to the energy transition
- Curious, self-driven, and able to find solutions to novel problems independently
- Experience with machine learning and deploying models in production
- Hands-on experience with Python, ML python packages like pytorch, huggingface, and scitkit-learn, NLP, Kubernetes, SQL
- Familiarity with AWS cloud infrastructure, Databricks, Delta Lake, Spark, Jupyter, Airflow, MLflow, Github, Circle CI, Grafana, Prometheus, Tableau, and Streamlit
Benefits
- Competitive salary based on experience
- Unique company culture with awards for Best Company to Work For
- Opportunities for learning, autonomy, and innovation
- Profit-sharing, flex-office, excellent mutual insurance, soft mobility package, and other benefits
- Inclusive and fair working environment with equal opportunities for all
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