Machine Learning Operations Engineer
Machine Learning Operations Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
What We Do
Swiftly gaining ground as Swedens industry leader in battery storage and expanding rapidly in selected European markets Flower is on a mission to enable the energy system of tomorrow.
With an industryleading AIpowered platform at its core our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets we break new ground towards a fossilfree energy system allowing clean energy to power society.
Who We Are
Tech company at heart purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world.
At Flower we believe trust collaboration and diversity are essential to not only create an inclusive work environment but also drive career growth. By embracing varying perspectives we allow creativity and progress to flourish.
To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow we are now looking for a passionate and skilled Machine Learning Operations Engineer.
About The Role:
We are looking for a proactive and skilled MLOps Engineer to join our Trading domain. In this role you will build and maintain robust infrastructure and processes to support the entire lifecycle of our machine learning models from development to deployment and monitoring in production. Collaborating closely with our Data Engineers and Data Scientists you will ensure the seamless integration of models into our trading systems. Your expertise will enable efficient model deployment versioning and monitoring ensuring our datadriven solutions operate reliably and effectively at scale.
What Youll Do:
- Work closely with data engineers and data scientists in order to set up proper workflows around data management to support data exploration model training and model development.
- Collaborate with data scientists to implement model versioning experiment tracking and monitoring frameworks.
- Implement and maintain model quality checks performance monitoring and alerting systems.
- Create and maintain CI/CD pipelines for model deployment in GitHub and cloud environments (AWS)
- Build and optimize model training and inference systems.
- Create and maintain comprehensive documentation of MLOps pipelines processes and procedures
Who You Are:
- Experience as an MLOps Engineer or in a similar role focused on machine learning infrastructure and operations
- Handson experience with MLOps tools such as MLflow for model tracking versioning and monitoring and Databricks for collaborative development and deployment
- Proficiency in cloud platforms preferably AWS (e.g. Lambda SageMaker EC2) and familiarity with data engineering tools and practices
- Familiarity with DevOps practices including Docker CI/CD pipelines Git and automated testing
- Understanding of scalable model deployment data pipelines and the endtoend model lifecycle
- A collaborative mindset with experience working closely with data scientists data engineers and crossfunctional teams
Location
Our beautiful office is located in the heart of Sdermalm just a short walk from Slussen subway station. We encourage inoffice collaboration but support a hybrid work model.
Apply
To apply please submit your resume and a cover letter highlighting your relevant experience and what you think you could bring to our team. Throughout the recruitment process you will meet with the Talent Acquisition Specialist Head of Implementation & OperationsVP Trading and our CEO John.
Our corporate language is English as we have over 20 nationalities in the office. We therefore appreciate it if you could submit your CV in English.
We look forward to hearing from you!
We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
Employment Type
Full Time
