ML AI Engineer

3 tygodni temu

Warszawa, Polska Lingaro Pełny etat

Responsibilities:

  • Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment.
  • Working with Data Science teams to implement Machine Learning and statistical models into production.
  • Practical and innovative implementations of ML/AI automation, for scale and efficiency.
  • Design, delivery and management of industrialized processing pipelines.
  • Defining and implementing best practices in ML models life cycle and ML operations.
  • Implementing AI/MLOps frameworks and supporting Data Science teams in best practices.
  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations.
  • Gathering technical requirements & estimating planned work.
  • Presenting solutions, concepts and results to internal and external clients.
  • Creating technical documentation.

Expectations:

  • At least 5 years of experience in a similar position.
  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, AI architectures.
  • Practical experience in MLOps tools like MLFlow, Azure ML and/or Databricks.
  • Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably MS Azure.
  • Strong experience in at least one of the following domains: Machine Learning, Deep Learning, Data Science, MLOps, GenerativeAI.
  • Experience in programming ML algorithms and data processing pipelines using Python.
  • At least 2 years of experience in production ready code development.
  • Practical skills with scripting languages.
  • Experience in designing and implementing data pipelines.
  • Good communication skills.
  • Ability to work in a team and support others.
  • Taking responsibility for tasks and deliverables.
  • Great problem-solving skills and critical thinking.
  • Fluency in written and spoken English.
  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps) is a plus.
  • Experience productization ML solutions using technologies like Spark/Databricks or Docker/Kubernetes is a plus.

What we offer:

  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
  • "Office as an option" model. You can choose to work remotely or in the office.
  • Great Place to Work certified employer.​​​​​​​
  • Flexibility regarding working hours and your preferred form of contract.
  • Comprehensive online onboarding program with a "Buddy" from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+trainings, opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Modern office equipment.

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