Power ML Engineer

SingaporeFull-timemid

Machine Learning EngineerData

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Overview

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights,

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Machine Learning EngineerData

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

As a Power ML Engineer you will be responsible for the development of the Power offering. You will be fully dedicated to a new product covering the Japanese power market. This product will adapt and expand as required, existing modelling infrastructure to the Japanese power market in order to build fundamental forecasts.

Learn and adapt existing models to the Japanese market

Integrate market signals from other commodities (LNG, coal) to enhance the quality of our forecasts

Enrich the product and participate in the development of new features

Build and improve monitoring and alerting tools and dashboards

Ensuring good performance on our API to distribute the data to end users

Discuss the roadmap in collaboration with the product team. Help the team build ambitious yet sustainable plans

Understanding of electricity grid fundamentals (Production, Transmission, Markets)

Circa 3-5 years' of experience as a data focused Software Engineer

Significant experience working with Python (FastAPI is a plus)

Have worked with with Postgresql or similar data stores,

Proficiency in building and consuming RESTful APIs

Machine Learning research (Training, Evaluation, Backtesting, Tuning, Model selection). Deep learning is a plus, but not required

Data Science research (Stats, Hypothesis testing…)

ML Engineering (model versionning, feature versionning)

Comfortable working with Git, code reviews, and Agile methodologies

Experience with time-series, events data, normalization, database design

Strong command of written and spoken English

Understanding of performance optimization and caching strategies

Previous experience in electricity markets

Have experience with AWS (or another cloud provider), using Terraform

Experience with orchestration tool Airflow on a production environment

Experience with containerization (Docker) and orchestration (Kubernetes)

Experience with a ML registry framework (e.g. MLFlow…)

Knowledge on hexagonal architecture and medallion architecture

Used monitoring solutions (Datadog, Grafana, etc...)

Experience with NoSQL database

Japanese speaker

Great communication, ability to work asynchronously with team members in other countries

Curious to learn about the domain

BSc/MSc in computer science, computer engineering or equivalent

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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