Building high-performing, scalable, enterprise-grade ML/AI applications in a cloud environment.

Working with Data Science, Data Engineering, and Cloud teams to implement Machine Learning 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.

Being a Technical Leader on ML projects, defining tasks, guidelines, and evaluating results.

Creating technical documentation.

Supporting and growing junior engineers.

Requirements:

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, preferably GCP.

Experience in programming ML algorithms and data processing pipelines using Python.

At least 4 years of experience in production-ready code development.

Experience in designing and implementing data pipelines.

Practical experience with implementing ML solutions on GCP Vertex. AI and/or Databricks.

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.

Practical experience with other programming languages: Py Spark, Scala, R, Java is a plus.

Practical experience with tools like Air Flow, ADF, or Kubeflow is a plus.

Good understanding of CI/CD and Dev Ops concepts, and experience in working with selected tools (preferably Git Hub Actions, Git Lab, or Azure Dev Ops) is a plus.

We offer:

Stable employment. On the market since 2008, with 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+ 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.

Modern office equipment. Purchased for you or available to borrow, depending on your location.