Oracle AI/ML Consultant
⚲ Warszawa
150–180 zł netto (+ VAT) / godz.
Wymagania
- Oracle
- Oracle Database
- SQL
Opis stanowiska
Nasze wymagania:
Minimum 3 years of hands-on experience in implementing and optimizing ML solutions within Oracle ML or equivalent Oracle technologies.
Possession of at least one certification from the Oracle ML/AI pathway or an equivalent document, such as:
Oracle Database 23ai SQL Associate or Administration Associate
Oracle AI Vector Search Professional
OCI Data Science Professional
OCI Generative AI Professional
Practical experience with Oracle Database 23ia or demonstrated equivalent experience with Oracle database technologies.
Strong proficiency in SQL, data modelling and familiarity with model evaluation metrics and validation techniques.
Experience with cloud-native Oracle services and containerized deployment patterns is desirable.
Good communication skills with the ability to explain technical concepts to technical and non-technical stakeholders.
O projekcie:
We are seeking an experienced Oracle AI/ML Consultant to join our team. The person in this role will lead and support implementations focused on configuration and optimization of machine learning algorithms using Oracle ML or equivalent Oracle technologies.
Zakres obowiązków:
Design, configure and optimize machine learning models and workflows within Oracle ML or comparable Oracle technology stacks.
Implement pragmatic solutions for data preparation, feature engineering, model training, validation and deployment in production environments.
Collaborate with data engineers, database administrators and stakeholders to integrate ML solutions with Oracle Database and cloud services.
Provide technical guidance on performance tuning, scalability and security for ML workloads on Oracle platforms.
Document implementation plans, configuration choices and model evaluation results to support maintainability and auditability.
Deliver knowledge transfer and training sessions for internal teams and clients to ensure smooth adoption and operation.
Participate in technical assessments and propose improvements to existing ML implementations and practices.
Oferujemy:
Collaborative, project-driven environment with opportunities to influence architecture and delivery practices.
Exposure to enterprise-scale Oracle implementations and cross-functional teams.
Remote working.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
Minimum 3 years of hands-on experience in implementing and optimizing ML solutions within Oracle ML or equivalent Oracle technologies.
Possession of at least one certification from the Oracle ML/AI pathway or an equivalent document, such as:
Oracle Database 23ai SQL Associate or Administration Associate
Oracle AI Vector Search Professional
OCI Data Science Professional
OCI Generative AI Professional
Practical experience with Oracle Database 23ia or demonstrated equivalent experience with Oracle database technologies.
Strong proficiency in SQL, data modelling and familiarity with model evaluation metrics and validation techniques.
Experience with cloud-native Oracle services and containerized deployment patterns is desirable.
Good communication skills with the ability to explain technical concepts to technical and non-technical stakeholders.
O projekcie:
We are seeking an experienced Oracle AI/ML Consultant to join our team. The person in this role will lead and support implementations focused on configuration and optimization of machine learning algorithms using Oracle ML or equivalent Oracle technologies.
Zakres obowiązków:
Design, configure and optimize machine learning models and workflows within Oracle ML or comparable Oracle technology stacks.
Implement pragmatic solutions for data preparation, feature engineering, model training, validation and deployment in production environments.
Collaborate with data engineers, database administrators and stakeholders to integrate ML solutions with Oracle Database and cloud services.
Provide technical guidance on performance tuning, scalability and security for ML workloads on Oracle platforms.
Document implementation plans, configuration choices and model evaluation results to support maintainability and auditability.
Deliver knowledge transfer and training sessions for internal teams and clients to ensure smooth adoption and operation.
Participate in technical assessments and propose improvements to existing ML implementations and practices.
Oferujemy:
Collaborative, project-driven environment with opportunities to influence architecture and delivery practices.
Exposure to enterprise-scale Oracle implementations and cross-functional teams.
Remote working.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe.
Activities to support your well-being and health.
Luxmed Gold Extended medical care and Multisport Plus benefit.
🔍 Dekoder Ogłoszenia
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equivalent Oracle technologies
Może oznaczać zarówno inne narzędzia Oracle do ML, jak i potencjalnie technologie spoza ekosystemu Oracle, jeśli firma jest elastyczna.
🔴
equivalent document
Może oznaczać, że firma jest otwarta na alternatywne dowody kompetencji, ale też może być próbą rozszerzenia wymagań na coś mniej konkretnego niż certyfikacja.
🔴
demonstrated equivalent experience
Wymaga od kandydata udowodnienia swoich umiejętności w sposób, który może być subiektywnie oceniany przez rekrutera.
🟡
Good communication skills with the ability to explain technical concepts to technical and non-technical stakeholders
Oprócz standardowej komunikacji, może oznaczać, że będziesz musiał tłumaczyć złożone problemy ML mniej doświadczonym osobom, co wymaga cierpliwości i umiejętności dydaktycznych.
🟡
Implement pragmatic solutions
Sugestia, że rozwiązania powinny być praktyczne i możliwe do wdrożenia, ale może też oznaczać, że nie zawsze będzie czas lub zasoby na najbardziej zaawansowane lub teoretycznie optymalne podejścia.