AI/ML Engineer (MLOps)

O projekcie

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• 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.
• Possibility of access to the Udemy learning platform.
• 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.

Zakres obowiązków

• Working with Data Science teams to implement Machine Learning models into production.
• 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.
• Nice to have: Design, delivery GenAI solutions.
• Nice to have: practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency.
• Gathering technical requirements & estimating planned work.
• Presenting solutions, concepts and results to internal and external clients.
• Creating technical documentation.

Wymagania

• Data engineering and data processing experience.
• Experience in production-ready Python code development (e.g., microservices, APIs, etc.).
• Experience in production-ready ML-related code development.
• 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.
• Nice to have: Experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering).
• 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.

What Will Set You Apart

• 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.

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.

Oferujemy

• Sport subscription
• Private healthcare
• Training budget
• International projects

Etapy rekrutacji

• HR Meeting
• Technical and managerial meeting
• Live Coding
• Decision