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.