Python Developer AI/ML

Full Description

Role : Python Developer AI/ML

No of Position : 1

Location : Toronto

Pay Rate / Hr : 80CAD (Inclusive of all charges)

Work Mode : Hybrid (2 4 days to office, subject to change)

Job Title: Python Developer AI / GenAI Development

About the Role

We are seeking a Python Developer to join our team and contribute to the design, development, and deployment of Generative AI (GenAI) based applications in the AI/ML space.

The ideal candidate will have strong Python programming skills, experience with AI/ML frameworks, and an interest in building scalable, context-driven solutions for enterprise use cases.

Key Responsibilities

• Design, develop, and maintain Python applications leveraging the GenAI tools and technologies.

• Integrate GenAI with AI/ML models, APIs, and data pipelines.

• Build scalable services for real-time and batch processing of AI workflows.

• Collaborate with data scientists, ML engineers, and product teams to implement AI-driven solutions.

• Optimize performance and reliability of AI applications and services.

• Write clean, efficient, and well-documented code following best practices.

• Participate in code reviews, testing, and deployment processes.

• Stay updated with the latest advancements in AI, LLMs, and MCP.

Required Qualifications

• Proficiency in Python and related libraries/frameworks (FastAPI, Flask, Django).

• Solid understanding of AI/ML concepts and experience working with frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

• Hands-on experience with OpenAI models & limitations, Azure Data Factory and Azure Data Bricks development.

• Strong knowledge of RESTful APIs and microservices architectures.

• Familiarity with cloud platforms (Azure, or GCP) and containerization (Docker, Kubernetes).

• Experience with data integration, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG).

• Strong problem-solving and debugging skills.

Nice to Have

• Experience working with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).

• Background in MLOps (CI/CD for ML, model deployment pipelines).

• Knowledge of enterprise AI security, data governance, and compliance practices.

• Contributions to open-source AI/LLM projects.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

• 3+ years of professional Python development experience (AI/ML project experience preferred).