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GEN AI SpecialisteTeam • Mississuaga, ON
GEN AI Specialist

GEN AI Specialist

eTeam • Mississuaga, ON
Il y a 3 jours
Type de contrat
  • Temps plein
Description de poste

Role Name: GEN AI Specialist
Location: Missisauga ON

JOB DESCRIPTION:
Job Description: GenAI & AI/ML Framework Specialist (C/C)


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.

Key Responsibilities
  • GenAI & Model Development
  • 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.
  • Framework & Pipeline Engineering
  • 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.
  • Technical Skills Required
  • AI/ML Frameworks & Libraries
  • Core Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.
  • GenAI Ecosystem: Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
  • Core Languages: Mastery of Python for performance tuning.
  • Algorithms & Math
  • Machine Learning: Deep understanding of regression, clustering, decision trees, and ensemble methods.
  • Deep Learning: Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).
  • Data Infrastructure: Experience with Vector Databases (ChromaDB, Pinecone, Milvus) and SQL/NoSQL.
  • MLOps & Infrastructure
  • Deployment: Experience with MLflow, Kubeflow, or Triton Inference Server.
  • Cloud & Compute: Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA).
  • Experience & Qualifications
  • Experience: years in data science or AI engineering, with years dedicated to Generative AI.
  • Education: Master’s in Computer Science, Data Science, Mathematics, or a related quantitative field.
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GEN AI Specialist • Mississuaga, ON

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