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PYTHON DEVELOPER - GENAI / AI

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Onsite

PYTHON DEVELOPER - GENAI / AI

SIDRAM TECHNOLOGIES

PYTHON DEVELOPER - GENAI / AI

Skills

MongoDBData EngineeringDeep LearningPythonData ScienceNumPypandasPyTorchTensorFlowNeo4jGitLabJenkinsMachine LearningAIKubernetesNLP / Natural Language ProcessingFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mississauga, ON, Canada

Work mode:

Onsite

Published on:

1 September 2026

What they need


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.

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