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AI Applications Engineer

multiple locations +view all Job No. r00165534 Full-time - Hybrid

Job Description

Job Description

Data & Applied Intelligence is a technology hub operating on the local and global markets, with over 200 specialists based in Poland - architects, engineers and analysts whose knowledge and experience range from data analytical architecture to functional and sectoral specialization. Importantly, our team works extensively directly with technology partners (such as Microsoft, AWS, Google, Oracle and Snowflake) implementing the latest innovative solutions that are just appearing on the market. We support our clients comprehensively: from the definition of the Data & Analytics strategy to the comprehensive implementation of solutions, to maintenance and development. We touch the area of Data & Analytics holistically and address all aspects important for organizations that undergo data transformation. Our teams work in many areas, such as Business Intelligence, Big Data, AI / ML, advanced data analytics, Data Governance or the definition of operating models for Data organizations.

What will you do?

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

  • You will be involved in industrialization and scaling of AI products following MLOps frameworks and 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.

Qualifications

What do we expect from you?

  • Graduated from one of the quantitative disciplines: econometrics, computer science, statistics, mathematics, economics or any other related field.

  • Hands-on experience in delivering production-grade solutions – AI applications, ML models, services, etc.

  • Proficiency in Python and key ML, data and API libraries. Experience in writing production-grade code with OOP best practices.

  • Familiarity with various AI services and models (e.g. OpenAI, Azure AI Services, Google Model Garden, HuggingFace, TF Hub, etc.)

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

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

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

What can we offer you?

  • Stable employment conditions based on an employment contract.

  • Private medical care, life insurance and employee share program.

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

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

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

  • Participation in the implementation of projects on a global scale for the largest international companies from Fortune500 using the latest technological solutions and tools.

  • Employee Assistance Program - free support in one-time legal, financial and psychological consultations.

  • Paid employee referral program.

As part of this announcement, we propose the possibility of hybrid work, understood as working from home, where possible visits to the office will depend on project circumstances. For people working in this mode, we provide exactly the same development path and opportunities as for people working from offices, as well as physical integration meetings. If you have any questions or doubts, we encourage you to apply and contact us directly.

When applying please enclose the below statements:

I hereby consent to the processing of my personal data by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018 on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive), necessary to carry out the recruitment process by Accenture . At the same time, I declare that I provide my personal data completely voluntary. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority.

I hereby also consent to the processing of my personal data for future recruitment proceedings held by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018 on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive). At the same time, I declare that I provide my personal data completely voluntary. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority.

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Locations

Krakow, Warsaw

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