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As an AI ML Python Developer, you will make an impact by designing, developing and maintaining Python applications leveraging GenAI tools and technologies.
In this role, you will
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Working arrangements
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in city, province. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Post closing date
Applications will be accepted until September 12, 2025.
In this role, you will
- 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.
- 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.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Working arrangements
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in city, province. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Post closing date
Applications will be accepted until September 12, 2025.
Key Skills
Ranked by relevance
ai
python
containerization
microservices
restful apis
tensorflow
fastapi
pytorch
docker
flask
cloud
gcp
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Login to Apply
- Posted
- Sep 08, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Toronto
- Company
- Cognizant
Industries
IT Services
IT Consulting
Business Consulting
Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Sr. FullStack Java Engineer with good JavaScript knowledge
2026-04-09
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Not Applicable
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IT Services
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View Job Details
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2026-04-01
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View Job Details
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Senior Android Developer
2026-04-01
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