Tasks:
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Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment.
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Generating and maintaining code according to the agreed coding standard and best practices.
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Supporting the architect in determining the details of the proposed design`s implementation.
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Implementation of core application features.
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Practical and innovative implementations of ML/AI automation and applications, for scale and efficiency.
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Gathering technical requirements & estimating planned work.
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Code analysis and testing.
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Communication with the client.
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Creating technical documentation.
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Presenting solutions, concepts, and results to internal and external clients.
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Supporting and growing junior engineers.
Requirements:
- At least 3 years of project experience programing in Python including:
· Object oriented approach,
· Complex data handling,
· API integration,
· Scalable architectures. - Experience programming in one of additional languages: Scala/Java/Rust/Go.
- Experience working with SQL and RDBMS.
- Good understanding of cloud concept and experience working with cloud services (preferably Azure or GCP).
- Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps).
- Practical experience with tools like Azure Data Factory, AirFlow, or Kubeflow.
- Experience working with Docker and Kubernetes.
- Good communication skills.
- Ability to work in team and support others.
- Taking responsibility for tasks and deliverables.
- Great problem-solving skills and critical thinking.
- Good communication skills.
- Fluency in written and spoken English.
Nice to have skills & knowledge:
- Experience in applying and/or defining software engineering best practices.
- Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures.
- Experience in programming ML algorithms and data processing pipelines using Python.
- Practical experience with Spark/Databricks platform and programming in PySpark.
- Experience in Front-end development with Flask or Streamlit.
- Experience in replatforming projects in Data and Analytics domain.
Offer:
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Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
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Flexibility regarding working hours and your preferred form of contract.
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Great Place to Work® certified employer.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Unlimited access to the Udemy learning platform from day 1.
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Internal Gallup Certified Strengths Coach to support your growth.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.