Machine Learning Engineering Manager

12 hours ago


Stockholm, Stockholm, Sweden Capgemini Full time

**Job Summary:**

Capgemini is seeking an experienced AI/ML Architect to join our team. As an AI/ML Architect, you will be responsible for designing and implementing AI and machine learning solutions that meet business requirements and technical specifications.

Your Responsibilities Will Include:

  1. Designing and architecting end-to-end AI/ML solutions.
  2. Developing and implementing scalable machine learning and deep learning models.
  3. Creating architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling.
  4. Leveraging generative AI and large language models (LLMs) to develop innovative applications.
  5. Collaborating with data engineers to design data pipelines and ensure data quality and accessibility.
  6. Providing technical leadership and guidance to data scientists and engineers throughout the development lifecycle.
  7. Evaluating and selecting appropriate AI/ML tools, frameworks, and technologies to meet project needs.
  8. Ensuring best practices in AI/ML model development, including versioning, testing, and validation.
  9. Staying updated with the latest advancements in AI/ML technologies and incorporating them into architectural designs.
  10. Communicating complex AI/ML concepts and solutions effectively to non-technical stakeholders.

About Us:

Capgemini is a global leader in consulting, technology services, and digital transformation. We help our clients achieve their goals by providing innovative solutions to complex problems.

What We're Looking For:

  • A highly skilled AI/ML Architect with a strong background in designing and implementing AI and machine learning solutions.
  • Excellent communication and leadership skills, with the ability to guide cross-functional teams.
  • Experience working 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.


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