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    Data & MLOps Engineer - Austin, United States - Storm4

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    Description

    Role: Data & MLOps Engineer

    Industry: Energy Storage & Trading

    Location: Austin, TX

    Salary: $130,000 - $200,000

    This is an amazing opportunity for an MLOps Engineer to join a leading global optimizer of battery storage and renewable energy assets. The company's aim is to maximize the value of grid-scale battery storage, so they are attractive investments, are deployed at scale and enable the energy transition.

    You will be working on the development of their renewables trading platform in the US:

    • Lead the development and productionization of our renewables trading (DA optimization of virtual and asset backed DART etc.)
    • Closely collaborate with the commercial and business development team on aligning models with market and client needs
    • Bringing an experimental mindset, prototyping and developing with the right model for the job.

    Requirements:

    • You have at least 5 years of python development experience
    • You have at least 3 years of commercial experience working with data scientist/ML researchers to develop tooling, collaborate on backtesting frameworks, build data pipelines, build/maintain orchestration workflows or productionise code.
    • Proficiency with Orchestration and IaC (Airflow, ECS, Kubernetes, Terraform, CloudFormation), Git, Containerization (docker), SQL (Postgres, Snowflake)
    • You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.).
    • You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field.

    Extra Points if you can demonstrate:

    • Data engineering experience collecting, curating, managing and monitoring large timeseries data
    • Experience with monitoring frameworks (e.g. Prometheus)
    • Machine learning experience especially time-series forecasting & generative ML problems
    • Experience with optimization methods especially linear programming / mixed-integer programming.
    • Knowledge of a US ISO power market (especially ERCOT)
    • Experience with data visualization and dashboarding technologies (e.g. , Dash, Streamlit)
    • MS or PhD degree in Computer Science, Machine Learning, or related technical field.

    Sounds like you? Please click on the 'Easy Apply' button. You can also send your resume directly to or message me directly

    Storm4 is a specialist GreenTech recruitment firm with clients across Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at and follow the Storm4 LinkedIn page for the latest jobs and information



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