AI Solutions Architect

5 days ago


Stockholm, Stockholm, Sweden Capgemini Full time
Job Title:

As an AI/ML Solution Architect, you will design and oversee the architecture of AI and machine learning solutions.

Key Responsibilities:
  1. Design end-to-end AI/ML solutions meeting business requirements and technical specifications.
  2. Develop and implement scalable machine learning and deep learning models.
  3. Create architectures for NLP applications, including text processing and sentiment analysis.
  4. Leverage generative AI and large language models to develop innovative applications.
  5. Collaborate with data engineers to design data pipelines and ensure data quality.
  6. Provide technical leadership and guidance to data scientists and engineers.
  7. Evaluate and select appropriate AI/ML tools and technologies.
  8. Ensure best practices in AI/ML model development, including versioning and testing.
  9. Stay updated with the latest advancements in AI/ML technologies.
  10. Communicate complex AI/ML concepts effectively to non-technical stakeholders.
About Capgemini Group IT:

Capgemini Group IT is an internal function delivering technology services to the entire Capgemini Group.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • 8+ years of experience 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.
  • Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures.
  • Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences.
  • Experience in leading and mentoring technical teams.
Preferred Qualifications:
  • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
  • Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.


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