Senior ML/AI Engineer
Miejsce pracy: Warszawa
Technologies we use
Expected
- Python
- Databricks
- Microsoft Azure
- GenAI
About the project
The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.
Your responsibilities
- Working with Data Science teams to implement Machine Learning models into production
- Design, delivery GenAI solutions
- 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
Our requirements
- At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
- 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
- At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering)
- Practical experience in MLOps/LLMOps tools like AzureML/AzureAI
- 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
Optional
- Experience in designing, programming ML algorithms, and data processing pipelines using Python
- Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
- Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes
What we 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, depending on your location
- 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
- Internal Gallup Certified Strengths Coach to support your growth
- 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
Benefits
- life insurance
- remote work opportunities
- flexible working time
- integration events
- no dress code
- coffee / tea
- drinks
- parking space for employees
- leisure zone
- extra social benefits
- holiday funds
- employee referral program
- Non-corporate atmosphere
- Freedom to choose your working model (HO/hybrid/office)
- Medical package
- MultiSport card
Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".
