AI/ML Engineer with GCP and AI

Tasks:

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

• Working with Data Science teams to implement Machine Learning and GenerativeAI 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.

Requirements:

• 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 GCP Vertex.AI.

• Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably GCP, Azure.

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

• Understanding and preferably experience with GenerativeAI Large Language Models\Large Multimodal Models tech stack (OpenAI, Stable Diffusion, LLM orchestrators - Langchain, etc.) and concepts (RAG, in-context learning, fine-tuning, LLM validations pipelines).

• 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.

• At least 2 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.

• Fluency in written and spoken English.

Offer:

• Stable employment. On the market since 2008, 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.