Data Science Engineer
1 semana atrás
As a Data Scientist at Capgemini Engineering, you will be part of a global team of engineers and scientists working together to unlock the potential of companies.
The position involves developing, fine-tuning, and deploying Generative AI models using AWS services such as Bedrock, SageMaker, and Lambda. Your expertise in machine learning and data science will enable you to work with LLMs, embeddings, transformers, and diffusion models for applications in NLP, image generation, and AI automation.
You will optimize prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF) techniques to build scalable MLOps pipelines for training and deploying GenAI models. Additionally, you will process and manage large-scale datasets for AI training using AWS Glue, Athena, and Redshift.
In this role, you will also implement vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch) for efficient retrieval-augmented generation (RAG) applications. Designing and optimizing ETL pipelines for AI/ML data workflows will be an essential part of your responsibilities.
Collaboration with software engineers, DevOps, and product teams is crucial to integrate AI models into applications and APIs. Ensuring security, compliance, and data privacy in AI/ML workflows is also vital.
Your skills and qualifications should include strong background in Data Science, Machine Learning, and Generative AI. Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers) is required. Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and Comprehend is highly valued.
A solid understanding of cloud optimization, distributed computing, and model scaling is essential. Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark are also necessary. Knowledge of NLP, image generation models, or multimodal AI solutions is preferred.
Beyond technical skills, we value experience in MLOps, containerization (Docker, Kubernetes, ECS), and CI/CD for ML pipelines. Nice to have: experience with fine-tuning open-source models, AWS certifications, real-time AI applications, chatbot development, or autonomous agents.
Our benefits package includes hybrid work options, training and certification programs, health and life insurance, and referral bonuses.
About Capgemini
At Capgemini, we empower our employees to shape their careers, collaborate with diverse professionals, and reimagine what's possible. Our mission is to help leading organizations unlock technology's value and build a more sustainable, inclusive world.
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