07 23 Implementing GenAI blog cover 2

AI/ML Engineer


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Power Bi

The person we are looking for will become part of Data Science and AI Competency 

Center working in AI Engineering team. The key duties are: 

  • 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

  • Good understanding and 4 years of experience in ML/AI and its concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, AI architectures.

  • Practical experience in MLOps tools like MLFlow, Azure ML, GCP Vertex, AWS 

  • 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 

  • 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.

Nice to have:
  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps).

  • Experience productization ML solutions using technologies like Spark/Databricks or Docker/Kubernetes .

  • Good understanding of GenerativeAI and Large Language Models tech stack and concepts (OpenAI, LLM orchestrators - Langchain, Semantic Kernel, etc.)

We Offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • 100% remote.

  • Flexibility regarding working hours.

  • Full-time position

  • 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.


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