Senior ML / AI Engineer

Our Client

Our Client is a leader in the SaaS industry, specializing in software solutions for insurance companies. With 20 years of experience, they offer a comprehensive software package that supports key insurance processes such as policies, claims, reinsurance, and payments. They are renowned for their cutting‑edge solutions, which they configure and tailor to meet the specific needs of their clients.

Currently undergoing a large technological transformation and building a competence centre in Warsaw, the company is moving towards a Cloud Native, multi‑tenant platform to modernise its infrastructure. They are making a significant investment in cloud services to create a more scalable, efficient system.

Role

• Lead the design, development, and implementation of Python‑based machine learning and artificial intelligence solutions to address complex business challenges.
• Architect scalable and efficient machine learning pipelines and frameworks using Python libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications.
• Conduct exploratory data analysis and feature engineering to extract insights from large and complex datasets.
• Evaluate and select appropriate machine learning algorithms and techniques to achieve desired outcomes, considering factors such as model performance, scalability, and interpretability.
• Optimise and fine‑tune machine learning models for improved performance, accuracy, and efficiency.
• Develop and maintain robust codebases for machine learning pipelines, adhering to best practices for code quality, testing, and documentation.
• Stay updated on advancements in Python frameworks and machine learning techniques, and identify opportunities to incorporate new tools and methodologies into projects.
• Provide technical guidance, mentorship, and support to junior developers and team members, fostering a culture of learning and knowledge sharing.
• Collaborate with IT and infrastructure teams to deploy machine learning models into production environments, ensuring scalability, reliability, and security.

Key competences

Salary range & Conditions

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