Job Description

Accenture Applied Intelligence 
You've heard of Artificial Intelligence (AI), but what about Applied Intelligence?
 
AI may be the talk of the town, but it's not a silver bullet. That's where Applied Intelligence comes in: It's our unique approach to combining AI with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way.
 
AI Centre of excellence in Poland is part of a global team of more than 6,000 deep AI experts and 3,000 data scientists. We work with almost any technology partner including AWS, GCP, and Microsoft.
 
We build resilient data approaches, make AI vision a reality and make it scalable. Our work makes an impact and help businesses prepare for tomorrow.
 
 
YOU ARE GOING TO:
  • Work with us at the forefront of the digital revolution contributing your creativity, innovativeness, critical thinking and technical skills to help us shape the global digital landscape.
  • Use Cloud, Machine Learning and DevOps technologies to improve Client businesses by designing and delivering best in class MLOps and Machine Learning Cloud solutions enabling data science capabilities at scale.
  • Work in interdisciplinary teams that gather technical, business, cloud and data science competencies that deliver work in agile methodologies (at client location, remotely or mixed).
  • Range of your accountability, responsibility and autonomy will depend on your experience and seniority - we are looking for specialists of varied experience levels.
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Qualifications

WE EXPECT THAT YOU:
 
  • Graduated from university with Msc in areas such as Computer Science, Physics, Mathematics, Quantitative Methods and are continuously looking forward to use your knowledge and talent to deploy and scale AI solutions.
  • Experience in area of Machine Learning Engineering and Data Science, familiar with key Machine Learning concepts, algorithms and frameworks such as TFX, TensorFlow and understanding ML models lifecycle
  • Experience with DevOps and application of CI/CD frameworks in Machine Learning, familiar with technologies such as Terraform, Jenkins, Airflow, Git
  • Experience with Cloud environments such as GCP, AWS, Azure and tools for building ML models such us AWS SageMaker
  • Familiar with containerization tools such as Docker, Kubernetes, Kubeflow and model lineage tools such as MLflow, SigOpt
  • Familiar with data engineering and data lineage frameworks such as Apache Beam, Spark, understanding features store concepts such as Feast
  • Hands-on experience with Bash, Terraform, Python or Java, Apache Beam or Spark and Machine Learning frameworks such as TFX or TensorFlow
  • Have very good command of English language (it is nice to have command of additional language, for instance German)
  • Are a great team player (it is nice to have experience in working in international teams)
  • Interest and constant willingness to develop in areas of Machine Learning Engineering, Cloud, and DevOps
WE OFFER YOU:
 
  • Technologically and personally developing projects for the largest Polish and global enterprises.
  • Exposition to latest technologies in the field of data analytics in connection with a global network of analytics professionals.
  • Career and competence support, including ongoing mentoring and financing of certificates in different technologies and tools.
  • Clearly defined career paths.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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