Postuler

Publié il y a 3 mois

PYTHON DEVELOPER - GENAI / AI

@ SIDRAM TECHNOLOGIES

Mississauga, Ontario

Temps plein
Postuler
SIGNAUX

Résumé des exigences :

  • Overall Experience: 10 Years
  • Relevant Experience: 8 10 Years
  • Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source LLMs.
  • Experience with Vertex AI, Hugging Face, and LLM application development.
  • GenAI integration with enterprise applications using APIs, knowledge graphs, and orchestration tools.
  • Experience handling large-scale unstructured data and high-throughput processing.
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-08-25
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

SIDRAM TECHNOLOGIES

ChampValeur
Offres sur Jobsy7
Description
NOW HIRING: PYTHON DEVELOPER GENAI / AI

Location: Mississauga, Ontario, Canada

Client: Citi Bank

Employment: Full-Time

Overall Experience: 10 Years

Relevant Experience: 8 10 Years

Role Overview

Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions.

Core Ai/Ml & Genai Skills

GenAI, Machine Learning, Data Science, Statistics, NLP, Neural Networks, and LLMs.

Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source LLMs.

Strong hands-on expertise with RAG pipelines and advanced RAG techniques.

Experience with Vertex AI, Hugging Face, and LLM application development.

Prompt engineering, prompt tuning, and reusable prompt templates.

Agentic AI frameworks and use-case implementation.

Guardrails and GenAI performance/safety evaluation.

PYTHON & DATA ENGINEERING

Strong Python programming.

Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Transformers.

FastAPI, Seaborn, LangChain, LlamaIndex.

GenAI integration with enterprise applications using APIs, knowledge graphs, and orchestration tools.

Vector databases: PGVector, Pinecone, MongoDB Atlas, Neo4j.

Experience handling large-scale unstructured data and high-throughput processing.

DEPLOYMENT & MLOPS

Production deployment of GenAI-based models.

MLOps, model evaluation, and deployment pipelines.

CI/CD: Jenkins, GitLab CI, Azure DevOps, ArgoCD.

Kubernetes / OpenShift for cloud-native application deployment and scaling.

Soft Skills

Strong problem-solving and analytical skills.

Excellent collaboration and communication.

Ability to work independently on complex and ambiguous problems.

SEND RESUME

[email protected]

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