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

Accenture

Accenture

Software Engineering, IT, Data Science
Redmond, WA, USA
Posted on Friday, June 14, 2024

WHO WE ARE:

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.

At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

For more information about Accenture Technology Poland please visit our website: Poland | Let There Be Change | Accenture

THE WORK:

  • 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.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office in Warsaw or in Cracow - depending on specific project circumstances.

WHAT’S IN IT FOR YOU?

  • 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.

HERE’S WHAT YOU’LL NEED:

  • 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.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

  • Permanent employment contract or B2B.

  • Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.

  • A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).

  • Employee Assistance Program - legal, financial, and psycho-logical consultations.

  • Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.

  • Paid employee referral program.

  • Private medical care, life insurance.

  • Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

WHAT WE BELIEVE:

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy

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Equal Employment Opportunity Statement

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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