AI Solutions Architect Lead

8 hours ago


Stockholm, Stockholm, Sweden Capgemini Full time
Job Description:

The ideal candidate for this role will have a strong background in designing and implementing AI/ML solutions, with a focus on machine learning, deep learning, NLP, and generative AI. He/She will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives.

Responsibilities:

  1. Design and Architect: Develop end-to-end AI/ML solutions that meet business requirements and technical specifications.
  2. Develop and Implement: Create scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems.
  3. Create Architectures: Design architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modeling.
  4. Leverage Generative AI: Utilize generative AI and large language models (LLMs) to develop innovative applications.
  5. Collaborate: Work with data engineers to design data pipelines and ensure data quality and accessibility.
  6. Provide Technical Leadership: Offer guidance to data scientists and engineers throughout the development lifecycle.
  7. Evaluate and Select Tools: Assess and select appropriate AI/ML tools, frameworks, and technologies to meet project needs.
  8. Ensure Best Practices: Maintain best practices in AI/ML model development, including versioning, testing, and validation.
  9. Stay Updated: Stay current with the latest advancements in AI/ML technologies and incorporate them into architectural designs.
  10. Communicate Complex Concepts: Effectively communicate complex AI/ML concepts and solutions to non-technical stakeholders.

About Capgemini Group IT:
Capgemini Group IT is an internal function that delivers a comprehensive portfolio of technology services to the entire Capgemini Group. We serve more than 360,000 employees across countries and continents, around the clock. Our team works with various business lines, each requiring specific IT solutions and support.

Qualifications and Requirements:

  1. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  2. 8+ years of experience in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI.
  3. Extensive experience with machine learning algorithms, model development, and deployment.
  4. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras.
  5. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc.
  6. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
  7. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka.
  8. Proficiency in programming languages such as Python, R, and Java.
  9. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures.
  10. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences.
  11. Experience in leading and mentoring technical teams.

Preferred Qualifications:

  1. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
  2. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.

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