→Working with Data Science teams to implement Machine Learning models into production
→Practical and innovative implementations of LLM/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/LLM operations
→Implementing AI /MLOps/LLMOps 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
→At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
→Practical experience in ML based production recommendation systems
→At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
→At least 3+ years of experience in production-ready ML-related code development
→Practical experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI
→Practical experience with Databricks
→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 Azure or GCP
→Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
→Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
→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.
→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.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
