Machine Learning Operations Specialist
6 days ago
Koniclab is a leading innovator in the energy sector, leveraging advanced algorithms and artificial intelligence to optimize energy storage and maximize its value.
Job SummaryWe are seeking a highly skilled Machine Learning Operations Specialist to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing data engineering tools, workflows, processes, and platforms.
Key Responsibilities- Support the development of data engineering infrastructure, including enhancing architectural foundations and integrating new data management technologies.
- Write clean, maintainable, and well-documented code that adheres to best practices, and mentor and support the continued improvement of coding practices within the data science team.
- Enhance data engineering knowledge and expertise within the software team, ensuring their ability to support and collaborate on data science infrastructure.
- Continuously enhance data quality across multiple dimensions, including accuracy, availability, performance, and accessibility, to ensure a clear understanding of data within the company.
- Provide backup and escalation support to the tech-on-call team.
- Communicate effectively across software and data science teams.
- 5+ years of Python experience.
- 3+ years of working in technical teams, building data pipelines, delivering productionized code, building/maintaining live applications, developing tooling, and improving backtesting frameworks.
- 2+ years of orchestrating machine learning workflows.
- Proficiency with orchestration and infrastructure as code in AWS (e.g., Terraform, Kubernetes, RabbitMQ, Airflow), Git, containerization (Docker), and database management (e.g., Postgres, Alembic).
- Fluent in Python and its wider numerical ecosystem (e.g., Pandas, NumPy, Polars, Pydantic).
- Relational database design.
- Cloud infrastructure experience.
- Experience with monitoring frameworks (e.g., Prometheus).
- Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries.
- Experience centralizing diverse datasets for analytics, visualization, and machine learning.
- Familiarity with time-series forecasting and/or optimization.
- Experience with data visualization and dashboards (e.g., Grafana, Superset).
- Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).
Koniclab values diversity and offers a highly supportive, challenging, and focused environment for delivering high-quality, meaningful work. You will receive a competitive salary, flexible working arrangements, and opportunities for personal development.
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