GenAI Engineer

Capgemini•Montreal, QC

1d•CA$79,000 - CA$105,000

About The Position

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 ML flow, 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.