GEN AI Specialist
About The Position
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. Role Overview We are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions. You will develop advanced machine learning algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.
Requirements
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
- Mastery of Python for performance tuning.
- Deep understanding of regression, clustering, decision trees, and ensemble methods.
- Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).
- Experience with Vector Databases (ChromaDB, Pinecone, Milvus) and SQL/NoSQL.
- Experience with MLflow, Kubeflow, or Triton Inference Server.
- Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA).
- 8 years in data science or AI engineering, with 2+ years dedicated to Generative AI.
- Master's in Computer Science, Data Science, Mathematics, or a related quantitative field.
Responsibilities
- Design and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models.
- Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
- Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms.
- Build scalable pipelines for data preprocessing, feature engineering, and model training.
- Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs.
- Integrate AI models seamlessly into production software architectures and enterprise workflows.
Benefits
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
