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 center in Warsaw, the company is moving towards a Cloud Native, multi-tenant platform to modernize its infrastructure. They are making a significant investment in cloud services to create a more scalable, efficient system.

the 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.
• Optimize 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

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in software development, with a focus on Python programming and machine learning.
• Proven track record of delivering complex projects involving Python frameworks for machine learning and artificial intelligence.
• Experience working with cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Microsoft Azure ML).
• Knowledge of big data technologies and frameworks (e.g., Apache Hadoop, Spark).
• Strong proficiency in Python programming language and related frameworks for machine learning and AI development.
• Expertise in at least one popular Python framework (like Django, Flask, or Pyramid)
• Strong understanding of machine learning algorithms, techniques, and methodologies.
• Excellent problem-solving skills and analytical thinking abilities.
• Solid grasp of software engineering principles and best practices.
• Ability to craft clean, maintainable, and efficient code, emphasizing scalability and reusability.
• Ability to enhance, optimize, and refactor existing code to bolster performance and codebase quality.
• Expert knowledge of foundational application related Azure services such as containerized compute, storage, identity and access management, integration,
• Solid working knowledge of SQL, NoSQL, Cosmos DB, and associated database concepts
• Effective communication and collaboration skills, with the ability to work in a team environment.
• Commitment to continuous learning and staying updated on industry trends and advancements.
• Preferred working knowledge of data modeling, data wrangling, insurance rate implementation, analytics, data mining and machine learning

Salary range & Conditions

• fully remote role from Poland
• B2B cooperation
• 28.000-34.000 PLN net
• paid holidays