Machine Learning Engineer

Job Overview

We are looking for a Machine Learning Engineer who is willing to tackle the challenges of big weather data at Buluttan Weather Intelligence.

Company Overview

Buluttan is a Istanbul-based weather intelligence company providing services worldwide. We are working with large scale weather data and providing critical weather forecasts & alerts & algorithms for various industries. These include, but not limited to, renewable energy, mobility, logistics, etc… We do love meteorology and would like to mix it with cutting edge technology.

Buluttan is highly invested in climate change research and its effects on people & companies. We do have a social media presence as well where we are trying to create a weather-conscious community. You can follow us at Instagram (@buluttanapp) or on LinkedIn (https://tr.linkedin.com/company/buluttan).

Responsibilities

• Design and implement regression and classification algorithms to improve the accuracy of short-term weather forecasts, focusing on renewable energy production and extreme weather alerts.
• Deploy machine learning models to production, analyze and track their performance.
• Analyze and interpret spatially complex datasets related to numerical weather prediction (NWP) models, radar and satellite imagery, atmospheric and climate variables.
• Assist in the creation of data visualizations and dashboards to provide insights for internal and external stakeholders.
• Stay ahead of the latest developments in the field of Meteorology & Artificial Intelligence and drive Buluttan’s AI vision in meteorology.

Qualifications

• B.Sc/M.Sc/PhD in Computer Science, Data Science, Mathematics, Statistics, Meteorology, Physics, or any related department.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Experience in working with ML models in production.
• Strong foundation in Machine Learning.
• Strong proficiency in Python, SQL, and Git.
• Willingness to explore and actively use AI coding assistants (e.g., Cursor, Copilot, Claude Code) tools to accelerate development.
• Trying to follow best software development practices (clean code, testing, version control).
• Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills.
• Full ownership & capability of managing responsibilities with minimal guidance.

Nice to have

• Experience with time series regression & forecasting algorithms.
• Experience working with weather data, radar and satellite image recognition.
• Familiarity with GCP & data engineering pipelines.
• Having solved Physics based problems.
• Knowledge of data visualization tools (Grafana, Tableau, Looker).
• Passion for meteorology.
• An active stance on climate change & sustainability.