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Data Scientist (AI/ML)

Capgemini

Wrocław, Opole, Warszawa, Katowice

On-site

PLN 240,000 - 320,000

Full time

7 days ago
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Job summary

A leading technology consultancy in Wrocław is seeking an experienced AI/ML Specialist to design and implement innovative machine learning solutions. The ideal candidate will have 4-6 years of experience in AI/ML, strong skills in NLP, and proficiency in deep learning frameworks. This role offers benefits like private medical care, life insurance, and access to extensive training platforms. Join us to help organizations unlock the value of technology and build a sustainable future.

Benefits

Private medical care
Life insurance
Access to training platforms
Flexible benefits

Qualifications

  • 4-6 years experience in AI/ML solution design and implementation.
  • Strong expertise in machine learning and deep learning.
  • Proficient in NLP, especially with LLMs like Gemini, GPT, BERT.

Responsibilities

  • Design and architect AI/ML solutions.
  • Develop scalable machine learning models.
  • Evaluate AI/ML tools and frameworks.

Skills

AI/ML solution design
Deep learning
NLP techniques
Programming languages: Python, R, Java
Cloud platforms (AWS, GCP, Azure)

Tools

TensorFlow
PyTorch
Keras
Big data technologies: Hadoop, Spark, Kafka
Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR TASKS
  • Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications.
  • Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems.
  • Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling.
  • Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle.
  • Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs.
  • Ensure best practices in AI/ML model development, including versioning, testing, and validation.
YOUR PROFILE
  • Proven experience (4-6 years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI.
  • Extensive experience with machine learning algorithms, model development, and deployment.
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras.
  • Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc.
  • Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
  • Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka.
  • Proficiency in programming languages such as Python, R, and Java.
WHAT YOU’LL LOVE ABOUT WORKING HERE
  • Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport.
  • Access to over 70 training tracks: with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
  • Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%!
GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

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