Senior AI/ML Engineer at Lingaro

Opis stanowiska:

Najnowsze informacje o pracy w Lingaro na stanowisko Senior AI/ML Engineer. If the Senior AI/ML Engineer wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w Lingaro na stanowisko Senior AI/ML Engineer poniżej odpowiada Twoim kwalifikacjom.

• Python
• ChatGPT
• RAGs
• AzureML
• AzureAI
• Databricks

• Microsoft Azure
• Google Cloud Platform
• Azure DevOps

• The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

• 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

• At least 5+ years of Data engineering experience with Ostatnia 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

• 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
• Workation. Enjoy working from inspiring Lokalizacjas 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
• 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 Firma. 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 Lokalizacja

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events
• corporate sports team
• corporate library
• no dress code
• video games at work
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives
• family picnics
• Non-corporate atmosphere
• Freedom to choose your working model (HO/hybrid/office)
• Medical package
• MultiSport card

Szczegóły oferty:

• Firma: Lingaro
• Stanowisko: Senior AI/ML Engineer
• Miejsce pracy: Mazowieckie
• Kraj: PL

Jak złożyć aplikację:

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