Machine Learning Engineer for Cloud Native Solutions

3 tygodni temu

Warszawa, Polska Optiveum Pełny etat

Optiveum is a leader in the SaaS industry, specializing in software solutions for insurance companies with 20 years of experience.

The company offers a comprehensive software package that supports key insurance processes such as policies, claims, reinsurance, and payments.

A leader in cutting-edge solutions, Optiveum configures and tailors their software to meet the specific needs of clients.

In its technological transformation journey, Optiveum is building a competence center in Warsaw and moving towards a Cloud Native, multi-tenant platform to modernize infrastructure.

This change aims to create a more scalable, efficient system using cloud services.

Job Description

This role requires leading 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
  • Bachelor's 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 and Conditions
  • Fully remote role based in Poland.
  • B2B cooperation.
  • Net salary range: 28,000 - 34,000 PLN.
  • Paid holidays.

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