AI Engineer

• 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.
• Improving and extending delivery framework and implementing best practices.
• Gathering and applying knowledge on modern techniques, tools and frameworks in area of ML Architecture and Operations.

• Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures.
• Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services.
• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps).
• Strong experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning.
• At least 4 years of experience in production ready code development.
• Experience in designing and implementing data pipelines.
• Good communication skills.
• Ability to work in team and support others.
• Taking responsibility for tasks and deliverables.
• Great problem-solving skills and critical thinking.
• Excellent English skills.

Nice to have skills & knowledge:

• Practical experience in AutoML within H2O, DataRobot, Azure AutoML, GCP AutoML, TPOT or AutoSKLearn.
• Practical experience in MLOps tools like MLFlow, Azure ML, GCP ML, AWS Sagemaker.
• Experience in Tensorflow or PyTorch.
• Experience in programming ML algorithms and data processing pipelines using Python, Java, Scala, C++, JavaScript or R.

• Stable employment. On the market since 2008, 1400+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• 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+ training 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.