Data Analyst tablet&mobile

AI/ML Engineer


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Data Analyst tablet&mobile


  • 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 of ML/AI 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 Sagemaker. 

  • 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 Python. 

  • 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. 

  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps) is a plus.

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

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

We offer:
  • Stable employment. On the market since 2008, 1300+ 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.


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