Senior Data Scientist for Cloud-Native Machine Learning
1 month ago
We are Devire IT Outsourcing, a leading B2B cooperation dedicated to innovative IT projects. We partner with top global clients to deliver cutting-edge digital solutions.
Our current project focuses on a renowned apparel company, emphasizing their role in the fashion and textile industry.
Key Responsibilities:
- Collaborate with data scientists and analysts to design and deploy AI-powered models and machine learning systems.
- Develop and implement comprehensive solutions covering the entire ML model lifecycle, from data exploration and feature engineering to building ML pipelines and deploying models in production.
- Create scalable, efficient, and automated workflows for data analysis, model development, validation, and deployment.
- Design and optimize data pipelines to support machine learning workflows effectively.
- Advocate for and implement robust software engineering practices within the team, focusing on cloud-native solutions for ML pipelines.
- Leverage and contribute to shared best practices within the community to enhance team capabilities.
Requirements:
- Machine learning experience with big data tools such as Spark, Hadoop, or Kafka.
- Proficiency in at least one cloud platform (AWS, GCP, Azure) and familiarity with serverless code development.
- Strong command of object-oriented or functional scripting languages, with Python as a must-have.
- Proficiency in Python data-handling libraries like Pandas or PySpark.
- Competence in SQL for data transformation and consumption; familiarity with dialects like SparkSQL or BigQuery SQL is a plus.
- Solid understanding of standard software engineering practices, including unit testing, test automation, CI/CD pipelines, code reviews, and design documentation.
- Experience with native ML orchestration tools such as Kubeflow, Vertex AI Pipelines, Airflow, or TFX.
Benefits:
- Broadened professional horizon through collaboration with international teams.
- Flexibility in choosing your work schedule and environment.
- Career growth opportunities within our company.
- Modern hardware and software equipment.
- Private medical care and life insurance.
Estimated Salary: 100-130 PLN net + VAT/h (mid-level), 130-150 PLN net + VAT/h (senior). Work model: 100% remote.
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