Applied AI Engineer
Montrose Software (Polska) Sp. z o.o.
⚲ Kraków, Dębniki
16 000–28 500 zł / mies. (zal. od umowy)
Wymagania
- Databricks
- SQL
Opis stanowiska
Nasze wymagania:
3+ years of experience delivering end-to-end Data and AI solutions and products
Experience in delivering systems and solutions with LLM agentic architectures
Understanding of cloud-native architectures and operations
Hands-on experience with Databricks or a comparable Lakehouse platform (Snowflake, BigQuery + Vertex, Microsoft Fabric)
Familiarity with machine learning mathematical toolboxes
Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
Comfortable with data engineering
Proficiency with SQL
Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
Knowledge of DevOps, MLOps, LLMOps best practices
Innovative, curious, outcome-focused mindset
Collaborative mindset striving for win–win situations
Strong analytical and systems thinking
Experience in Transformers, PyTorch, Jupyter notebooks, Python, pandas, NumPy, Matplotlib, scikit-learn
Mile widziane:
Databricks certifications (Data Engineer Associate/Professional, ML Associate/Professional, Generative AI Engineer Associate)
O projekcie:
You will be working with the Head of Data and AI office on R&D and Product initiatives on every stage of an AI and Data lifecycle within our Montrose Software AI and Data framework. With empowered product team principles you will assist defining MVPs tailored to the needs of clients, understand the data intimately to surface the insights that matter to clients, developing proof of concepts in notebooks, and productionizing the MVPs with the MLOps and LLMOps mindset. Beneficial experience includes data engineering within cloud-native architectures for executing data, AI, and enterprise systems at scale. Prior experience delivering on Lakehouse platforms- i.e. Databricks in particular- is a strong advantage.
Zakres obowiązków:
Define and develop proof of concepts for Data and AI products and solutions
Conduct market and technology research; architect optimal solutions to address business challenges
Map AI/ML techniques to specific business problems
Build and productionise solutions on the Lakehouse (Databricks: Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, Vector Search)
Forecast operational AI costs for solutions at scale
Support business intelligence reporting to guide Data solutions
Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within Montrose Software’s Data and AI framework
Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data maturity.
Execute within Montrose's AI delivery and ops patterns and best practices.
Oferujemy:
Top-quality equipment to support your work
Flexible working hours
Remote work option
Exciting and challenging projects with international teams
English lessons with a native speaker
Dedicated training budget for personal and professional growth
Private medical insurance
Multisport card
Air-conditioned workspace
Showers available at the office
Lunches from Kraków’s top restaurants delivered to the office or a refund of the budget allocated for it
Fully stocked kitchen with drinks, fruit, and snacks
No dress code — dress comfortably
Chillout area with bean bags, therapy balls, PlayStation 4, Nintendo Switch 2 + games, stretching area, and pull-up bar
Regular team events
Additional Perks
Indoor bicycle parking
3+ years of experience delivering end-to-end Data and AI solutions and products
Experience in delivering systems and solutions with LLM agentic architectures
Understanding of cloud-native architectures and operations
Hands-on experience with Databricks or a comparable Lakehouse platform (Snowflake, BigQuery + Vertex, Microsoft Fabric)
Familiarity with machine learning mathematical toolboxes
Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
Comfortable with data engineering
Proficiency with SQL
Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
Knowledge of DevOps, MLOps, LLMOps best practices
Innovative, curious, outcome-focused mindset
Collaborative mindset striving for win–win situations
Strong analytical and systems thinking
Experience in Transformers, PyTorch, Jupyter notebooks, Python, pandas, NumPy, Matplotlib, scikit-learn
Mile widziane:
Databricks certifications (Data Engineer Associate/Professional, ML Associate/Professional, Generative AI Engineer Associate)
O projekcie:
You will be working with the Head of Data and AI office on R&D and Product initiatives on every stage of an AI and Data lifecycle within our Montrose Software AI and Data framework. With empowered product team principles you will assist defining MVPs tailored to the needs of clients, understand the data intimately to surface the insights that matter to clients, developing proof of concepts in notebooks, and productionizing the MVPs with the MLOps and LLMOps mindset. Beneficial experience includes data engineering within cloud-native architectures for executing data, AI, and enterprise systems at scale. Prior experience delivering on Lakehouse platforms- i.e. Databricks in particular- is a strong advantage.
Zakres obowiązków:
Define and develop proof of concepts for Data and AI products and solutions
Conduct market and technology research; architect optimal solutions to address business challenges
Map AI/ML techniques to specific business problems
Build and productionise solutions on the Lakehouse (Databricks: Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, Vector Search)
Forecast operational AI costs for solutions at scale
Support business intelligence reporting to guide Data solutions
Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within Montrose Software’s Data and AI framework
Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data maturity.
Execute within Montrose's AI delivery and ops patterns and best practices.
Oferujemy:
Top-quality equipment to support your work
Flexible working hours
Remote work option
Exciting and challenging projects with international teams
English lessons with a native speaker
Dedicated training budget for personal and professional growth
Private medical insurance
Multisport card
Air-conditioned workspace
Showers available at the office
Lunches from Kraków’s top restaurants delivered to the office or a refund of the budget allocated for it
Fully stocked kitchen with drinks, fruit, and snacks
No dress code — dress comfortably
Chillout area with bean bags, therapy balls, PlayStation 4, Nintendo Switch 2 + games, stretching area, and pull-up bar
Regular team events
Additional Perks
Indoor bicycle parking
🔍 Dekoder Ogłoszenia
🔴
delivering end-to-end Data and AI solutions and products
Oczekuje się, że będziesz odpowiedzialny za cały cykl życia projektu AI, od koncepcji po wdrożenie i utrzymanie, a nie tylko za wybrane etapy.
🔴
empowered product team principles
Zespół ma pewną autonomię w podejmowaniu decyzji, ale ostateczne kierunki i priorytety mogą być silnie narzucone przez zarząd lub inne działy.
🔴
assist defining MVPs tailored to the needs of clients
Twoja rola może polegać bardziej na wspieraniu w definiowaniu MVP niż na samodzielnym ich tworzeniu, a "potrzeby klientów" mogą być interpretowane przez pryzmat celów biznesowych firmy.
🔴
understand the data intimately to surface the insights that matter to clients
Oczekuje się głębokiego zrozumienia danych, ale "insights that matter" mogą być subiektywnie definiowane przez firmę, a niekoniecznie przez rzeczywiste potrzeby klienta.
🔴
Innovative, curious, outcome-focused mindset
Oczekuje się proaktywności i samodzielności w poszukiwaniu rozwiązań, ale "outcome-focused" może oznaczać presję na szybkie dostarczanie rezultatów, nawet kosztem jakości lub dogłębnych badań.