Senior Machine Learning Engineer

1 miesiąc temu

Sienna Warszawa, Polska Optiveum Pełny etat
About the Role

Optiveum is seeking a highly skilled Senior Machine Learning Engineer to lead the design, development, and implementation of Python-based machine learning and artificial intelligence solutions. The ideal candidate will have a strong background in software development, with a focus on Python programming and machine learning.

The successful candidate will work closely with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications. They will be responsible for conducting exploratory data analysis and feature engineering to extract insights from large and complex datasets.

The role requires expertise in at least one popular Python framework (like Django, Flask, or Pyramid) and a strong understanding of machine learning algorithms, techniques, and methodologies. The ideal candidate will also have experience working with cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Microsoft Azure ML).

The successful candidate will be responsible for developing and maintaining robust codebases for machine learning pipelines, adhering to best practices for code quality, testing, and documentation. They will also provide technical guidance, mentorship, and support to junior developers and team members, fostering a culture of learning and knowledge sharing.

Key Responsibilities

  • Lead the design, development, and implementation of Python-based machine learning and artificial intelligence solutions.
  • 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.
  • Develop and maintain robust codebases for machine learning pipelines, adhering to best practices for code quality, testing, and documentation.
  • Provide technical guidance, mentorship, and support to junior developers and team members, fostering a culture of learning and knowledge sharing.

Requirements

  • 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.

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