Join Accenture as an AI Applications Engineer in Data & AI (She/He/They)

WHO WE ARE:

Accenture is a global leader in professional services, empowering the world's foremost businesses, governments, and organizations to enhance their digital capabilities, optimize operations, and drive revenue growth. Our offerings span Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. Our Data & Applied Intelligence hub includes over 250 specialists in Poland, excelling in data architecture and industry-specific solutions.

We partner with top tech giants like Microsoft, AWS, Google, Oracle, and Snowflake to deploy cutting-edge solutions. Our comprehensive support encompasses strategy definition to solution implementation and development, covering all facets of Data & Analytics. To learn more about Accenture Technology Poland, please visit our .

About the Role

As an AI Applications Engineer in our Data & AI team, you'll collaborate with business stakeholders to identify real-world challenges and create advanced data models for decision-making in finance, logistics, marketing, and sales. Your responsibilities will include:

• Developing and scaling AI and ML solutions using MLOps best practices.
• Expanding your skills by working with data architects, modelers, DevOps, and visualization experts.
• Flexible working conditions, including remote work or on-site at our Accenture office in Warsaw or Cracow.

What’s In It For You?

Join us to:

• Work on international projects and enhance your data expertise.
• Gain insights from our diverse team of over 250 data enthusiasts.
• Access continuous learning through workshops and development initiatives.
• Thrive in a workplace that values diverse perspectives and encourages creativity.

Here's What You'll Need

• Bachelor’s or Master’s degree in econometrics, computer science, statistics, mathematics, economics, or a related field.
• Expertise in Python (OOP principles, key libraries, testing, best practices) and SQL.
• Knowledge of machine learning and statistical methods (e.g., time series, regression, clustering, PCA, decision trees, neural networks).
• Experience with Large Language Models, APIs, and popular applications (RAG, chatbots, vision, speech, images).
• Hands-on experience in creating end-to-end data processing pipelines.
• Experience with one or more cloud providers (GCP, AWS, Azure) and/or data analytics platforms (Databricks, Dataiku, Alteryx).
• Knowledge of Spark and Big Data concepts is an advantage.
• Understanding of DevOps components (Docker, Kubernetes, Git, Airflow, Jenkins) is beneficial.
• Willingness to learn and enhance your functional knowledge and consulting skills.

Research indicates that some candidates may hesitate to apply if they don't meet all requirements. If you believe you possess the necessary skills, we encourage you to apply.

What We Offer

• Permanent employment contract or B2B.
• Individual support from a People Lead and professional development pathways.
• A wide training package, including soft, technical, and language training.
• Access to e-learning platforms and various certifications.
• Employee Assistance Program offering legal, financial, and psychological consultations.
• Participation in the Employee share purchase plan and quarterly dividends.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the MyBenefit platform, including Multisport card options.

What We Believe

Accenture is dedicated to creating a diverse and inclusive workforce. We do not discriminate on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other legally protected status. Our commitment to inclusion and diversity is reflected in our core values and practices. Sustainability is integral to our operations, and we strive to achieve positive,