L
Specialist - Data Engineering
LTM
π¨π¦ Canada | πΊπΈ 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
5 months ago
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