Sigma Suisse is seeking for its client, a company in the trading sector, a Software Engineer in Data Science:
Job Description
* As part of a fast-evolving global data science team, you will play a key role in shaping, developing, and scaling software solutions that support advanced machine learning initiatives.
* Acting as a technical lead on data-centric projects, helping to define architecture, tools, and engineering standards
* Designing robust and scalable solutions to support end-to-end ML workflows
* Supporting data scientists by building and maintaining high-quality pipelines and deployment frameworks
* Contributing to innovation through exploration of emerging technologies relevant to AI and software delivery
* Bridging the gap between data science teams and commercial, operational, and IT stakeholders
* Owning the software lifecycle from prototype to production
* Taking part in reviews, experimentation design, and process optimization
Qualifications
* Professional experience in software development, with a strong focus on backend and data infrastructure
* Proficient in Python and familiar with modern development practices (code modularity, testing, CI / CD, documentation)
* Comfortable working across different parts of the tech stack (data integration, APIs, cloud, orchestration)
* Familiarity with cloud services (AWS, Azure, or GCP) and container technologies (Docker)
* Exposure to machine learning deployment, including frameworks and tools for LLMs
* Knowledge of modern data platforms and orchestration tools such as Airflow or Dagster
* Understanding of big data technologies (Spark, distributed systems)
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