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L

Specialist - Data Engineering

LTM
πŸ‡¨πŸ‡¦ Canada | πŸ‡ΊπŸ‡Έ United States
On-site
5 months ago
  • Python
  • AI/ML
  • Machine Learning
  • AI
  • Natural Language Processing
  • Large Language Models
  • Google Gemini
  • OpenAI
  • Anthropic Claude
  • RAG
  • Vertex AI
  • Hugging Face
  • Pandas
  • NumPy
  • scikit-learn
  • PyTorch
  • TensorFlow
  • FastAPI
  • Seaborn
  • LangChain
  • LlamaIndex
  • Pinecone
  • MongoDB
  • Neo4j
  • MLOps
  • CI/CD
  • Jenkins
  • GitLab CI
  • Azure DevOps
  • ArgoCD
  • OpenShift
  • Kubernetes
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Job Title: Senior Python Developer

Work Location : Mississauga, Canada

Job Descriptions.

  • 6 to 10 years of relevant experience in Apps Development or systems analysis role

Core AIML Foundations

  • Strong foundational knowledge in GenAI Machine Learning ML modeling Data Science Statistics and AI fundamentals including Natural Language Processing NLP Neural Networks and Large Language Models LLMs
  • Generative AI LLM Expertise
  • Extensive handson experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other opensource LLMs
  • Critical Deep working knowledge and handson experience with RetrievalAugmented Generation RAG pipelines including advanced RAG techniques and their detailed implementation
  • Proven ability to build tune and deploy LLMbased applications using platforms like Vertex AI Hugging Face etc
  • Expertise in developing robust prompt engineering strategies prompt tuning and creating reusable prompt templates
  • Handson experience with agentic frameworkbased use case implementation
  • Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features
  • Programming Data Engineering
  • Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain and LlamaIndex
  • Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools
  • Handson experience with various vector databases eg PG Vector Pinecone Mongo Atlas Neo4j for efficient data storage and retrieval
  • Experience in dealing with large amounts of unstructured data and designing solutions for highthroughput processing
  • Deployment MLOps
  • Critical Handson experience deploying GenAIbased models to production environments
  • Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines
  • Strong expertise in CICD principles and tools eg Jenkins GitLab CI Azure DevOps ArgoCD for automated builds testing and deployments
  • Cloud Containerization
  • Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying managing and scaling containerized applications in a cloudnative environment
  • Soft Skills
  • Strong problemsolving abilities excellent collaboration skills for working effectively with crossfunctional teams and the capability to work independently on complex ambiguous problems

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Specialist - Data Engineering Β· LTM

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