AI Applications Engineer in Data&AI (She/He/They)

41_R00165534

Obowiązki

• You will work with business stakeholders to identify the real-world problems and propose advanced data models supporting day-to-day decision making in areas of finance, logistics, marketing and sales.

• You will be involved in industrialization and scaling of AI and ML solutions following MLOps best practices.

• You will have an opportunity to expand your skillset by working with data architects, modelers, DevOps and visualization experts on day-to-day basis.

Wymagania

• Work on projects for international clients, expanding your data skill set.

• Gain insights and support from a diverse team of over 250 Data-enthusiasts. Access continuous learning through workshops and skill-building initiatives.

• Thrive in an exciting workplace that values and celebrates diverse perspectives. Contribute to a creative environment where your ideas are welcomed.

Oferujemy

• Bachelor’s or Master’s in one of the quantitative disciplines: econometrics, computer science, statistics, mathematics, economics or any other related field.

• Expert knowledge of Python (OOP principles, key libraries, testing, best practices) and SQL.

• Familiarity with the key machine learning and statistical methods and modelling techniques, e.g. time series, regression, clustering, PCA, decision trees, association rules, neural networks.

• Experience with Large Language Models, APIs, frameworks, and popular applications (RAG, chatbots, vision, speech, images)

• Hands-on experience in creating end-to-end data processing pipelines (sourcing, exploration, automation, visualization, etc.)

• Hands-on experience with at least one of the cloud providers (GCP, AWS, Azure) and/or data analytics platforms (Databricks, Dataiku, Alteryx, etc.)

• Knowledge of Spark and general familiarity with Big Data concept will be an advantage.

• Knowledge of additional DevOps components will be considered as an advantage: Docker, Kubernetes, Git, Airflow, Jenkins, etc.

• Willingness to learn and broaden your functional knowledge (finance, logistics, sales, etc.), as well as presentation/communication/consulting skills.  

Źródło: Accenture/Praca